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Viet Tran

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Norazian Mohamed Noor (PhD)

Universiti Malaysia Perlis (UniMAP)

Kansas State University

University of Tehran

Manchester Metropolitan University

Tobias Takas Shumba

Harare Polytechnic

Universidad del Norte - Barranquilla, Colombia

University of Sarajevo

Viacheslav Kuleshov

Stockholm University

Syukri Muhammad Nur

Darma Persada University

Yalova University

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Papers by Viet Tran

FlowVocoder: A small Footprint Neural Vocoder based Normalizing Flow for Speech Synthesis

Interspeech 2022

Recently, non-autoregressive neural vocoders have provided remarkable performance in generating h... more Recently, non-autoregressive neural vocoders have provided remarkable performance in generating high-fidelity speech and have been able to produce synthetic speech in realtime. However, non-autoregressive neural vocoders such as WaveGlow are far behind autoregressive neural vocoders like WaveFlow in terms of modeling audio signals due to their limitation in expressiveness. In addition, though NanoFlow is a state-of-the-art autoregressive neural vocoder that has immensely small parameters, its performance is marginally lower than WaveFlow. Therefore, in this paper, we propose a new type of autoregressive neural vocoder called FlowVocoder, which has a small memory footprint and is able to generate high-fidelity audio in real-time. Our proposed model improves the expressiveness of flow blocks by operating a mixture of Cumulative Distribution Function (CDF) for bipartite transformation. Hence, the proposed model is capable of modeling waveform signals as well as WaveFlow, while its memory footprint is much smaller than WaveFlow. As shown in experiments, FlowVocoder achieves competitive results with baseline methods in terms of both subjective and objective evaluation, also, it is more suitable for real-time text-to-speech applications.

DDG Task Recovery for Cluster Computing

Parallel Processing and Applied Mathematics, 2002

This paper presents a solution for the problem of transparent recovery of asynchronous distribute... more This paper presents a solution for the problem of transparent recovery of asynchronous distributed computation on clusters of work- stations when a fault occurs on a node. If the system has fault-tolerant features, it can survive the fault and continues its computations. Per- formance degradation is unavoidable when hardware redundancies are not available. It is a large advantage if the long-runtime application can restart from a checkpoint instead of restarting whole computation. This paper presents the fault-tolerant feature of the DDG environment ori- ented to cluster systems without hardware spare.

Data Driven Graph: A Parallel Program Model for Scheduling

Languages and Compilers for Parallel Computing, 2000

In this paper, we present a new powerful method for parallel program representation called Data D... more In this paper, we present a new powerful method for parallel program representation called Data Driven Graph (DDG). DDG takes all advantages of classical Directed Acyclic Graph (DAG) and adds much more: simple definition, flexibility and ability to represent loops and dynamically created tasks. With DDG, scheduling becomes an efficient tool for increasing performance of parallel systems. DDG is not only a parallel program model, it also initiates a new parallel programming style, allows programmers to write a parallel program with minimal difficulty. We also present our parallel program development tool with support for DDG and scheduling.

Many-to-Many Voice Conversion Based Feature Disentanglement Using Variational Autoencoder

Interspeech 2021, 2021

Voice conversion is a challenging task which transforms the voice characteristics of a source spe... more Voice conversion is a challenging task which transforms the voice characteristics of a source speaker to a target speaker without changing linguistic content. Recently, there have been many works on many-to-many Voice Conversion (VC) based on Variational Autoencoder (VAEs) achieving good results, however, these methods lack the ability to disentangle speaker identity and linguistic content to achieve good performance on unseen speaker's scenarios. In this paper, we propose a new method based on feature disentanglement to tackle many-tomany voice conversion. The method has the capability to disentangle speaker identity and linguistic content from utterances, it can convert from many source speakers to many target speakers with a single autoencoder network. Moreover, it naturally deals with the unseen target speaker's scenarios. We perform both objective and subjective evaluations to show the competitive performance of our proposed method compared with other state-ofthe-art models in terms of naturalness and target speaker similarity.

Nutrient dynamics and eutrophication assessment in the tropical river system of Saigon – Dongnai (southern Vietnam)

Science of The Total Environment, 2019

Saigon-Dongnai Rivers in Southern Vietnam is a complex lowland hydrological network of tributarie... more Saigon-Dongnai Rivers in Southern Vietnam is a complex lowland hydrological network of tributaries that is strongly influenced by the tidal cycles. The increasing economic, industrial and domestic developments in and around Ho Chi Minh City (HCMC) have led to serious impacts on water quality due to lack of appropriate wastewaters treatment. Drinking water production is impacted and the large aquaculture production areas may also be affected. We analyzed spatial and seasonal variability of nutrient concentrations (Phosphorus, Nitrogen and Silica) and eutrophication indicators (Organic Carbon, 2 Chlorophyll-a and Dissolved Oxygen) based on bimonthly monitoring during two hydrological cycles (July 2015-December 2017). Four monitoring sites were selected to assess the impact of HCMC: two upstream stations on the Saigon River and Dongnai River branches to provide the reference water quality status before reaching the urbanized area of HCMC; one monitoring station in the city center to highlight Saigon River water quality within the heart of the megacity; the fourth station downstream of the confluence to evaluate the impact of HCMC on the estuarine waters. This study points to excess nutrients in HCMC's water body with concentrations of NH4 + and PO4 3averaging to 0.7 ± 0.6 mgN L-1 and 0.07 ± 0.06 mgP L-1 , respectively in mean over the monitored period and rising up to 3 mgN L-1 and 0.2 mgP L-1 , in extreme conditions. During the dry season, we evidenced that untreated domestic discharges leads to degradation of the Saigon River's water quality with extreme values of algal biomass (up 150 µChl-a L-1) and hypoxic conditions occurring episodically (DO < 2 mg L-1) in the heart of the megacity. Until now, eutrophication in the urban center has had no clear effect downstream because eutrophic water mass from the Saigon River is efficiently mixed with the Dongnai River and sea water masses during the successive semi-diurnal tidal cycles.

Three-Dimensional Analysis of Geogrid-Reinforced Soil Using a Finite-Discrete Element Framework

International Journal of Geomechanics, 2015

Three-dimensional analysis of soil-structure interaction problems considering the response at the... more Three-dimensional analysis of soil-structure interaction problems considering the response at the particle scale level is a challenging numerical modeling problem. An efficient framework that takes advantage of both the finiteand discrete-element approaches to investigate soil-geogrid interactions is described in this paper. The method uses finite elements to model the structural components and discrete particles to model the surrounding soil to reflect the discontinuous nature of the granular material. The coupled framework is used in this study to investigate two geotechnical engineering problems, namely, strip footing over geogrid-reinforced sand and geogrid-reinforced fill over a strong formation containing void. The numerical model is first validated using experimental data and then used to provide new insights into the nature of the three-dimensional interaction between the soil and the geogrid layer.

Parallel programming with data driven model

Proceedings 8th Euromicro Workshop on Parallel and Distributed Processing

In this paper, bye present a new powerful method for parallel program representation called Data ... more In this paper, bye present a new powerful method for parallel program representation called Data Driven Graph (DDG). DDG takes all advantages of classical Directed Acyclic graph (DAC) and adds much more. Simple definition, flexibility and ability to represent loops and dynamically created tasks. With DDG, scheduling becomes an efficient tool for increasing performance of parallel systems. DDG is not

Parallel Program Model and Environment

Parallel Computing - Fundamentals and Applications - Proceedings of the International Conference ParCo99, 2000

Parallel Flood Modeling

Parallel Computing - Advances and Current Issues - Proceedings of the International Conference ParCo2001, 2002

Parallel Numerical Solution for Flood Modeling Systems

Lecture Notes in Computer Science, 2002

Simulation of the water flood problems often leads to solving large sparse systems of partial dif... more

Parallel Flood Modeling Systems

Lecture Notes in Computer Science, 2002

Flood modeling is a complex problem that requires cooperation of many scientists in different are... more Flood modeling is a complex problem that requires cooperation of many scientists in different areas. In this paper, the architecture and results of the ANFAS (Data Fusion for Flood Analysis and Decision Support) project is presented. This paper also focuses on the parallel numerical solutions of flood modeling module that are the most computational-intensive part of the whole ANFAS architecture.

Flood modeling system and its parallelization

Proceedings. International Conference on Parallel Computing in Electrical Engineering

Flood modeling is a complex problem that requires cooperation of many scientists in different are... more Flood modeling is a complex problem that requires cooperation of many scientists in different areas. In this paper, the architecture and results of ANFAS (Data Fusion for Flood Analysis and Decision Support) project is presented. This paper also focuses on parallel numerical solutions of the flood modeling module, the most computationally intensive part of the whole ANFAS architecture.

Navigation modeling for Force XXI Command and Control simulation

IEEE 1998 Position Location and Navigation Symposium (Cat. No.98CH36153), 1998

As the Army pursues a digitized battlefield through Force XXI initiatives and Advanced Warfightin... more As the Army pursues a digitized battlefield through Force XXI initiatives and Advanced Warfighting Experiments (AWEs), the role of navigation systems is evolving. GPS provides a common, consistent and accurate location grid in which all battlefield players position and navigate themselves. Theater-wide time synchronization is also a benefit afforded by GPS. The advantages for coordinated operations such as rendezvous, amassing

Research Proposal: Worm Propagation Modeling

Research Final Report: Worm Propagation Modeling

Dissemination and exploitation of grids in Earth science

SPIE Proceedings, 2007

Earth Science (ES) is an all-encompassing term for sciences related to the planet Earth like seis... more Earth Science (ES) is an all-encompassing term for sciences related to the planet Earth like seismology, geology, hydrology, and meteorology. DEGREE is a Specific Support Action (SSA) project that aims to promote Grid technologies throughout the large and diverse Earth Science community as a platform for e-collaboration in academic and industrial organizations.

Structural Damage Detection Accounting for Loss of Data in Wireless Network Sensors

Key Engineering Materials, 2009

For detection of damage in frame and truss structures, the normalized cumulative energy is propos... more For detection of damage in frame and truss structures, the normalized cumulative energy is proposed as the identification parameter within the framework of the damage locating vector (DLV) method. Due to the limited number of sensors used, it is necessary to filter out the actual damaged elements from the identified set of potential damaged elements. An intersection scheme using only the measured signals is proposed for the filtering and verified using a warehouse frame comprising truss, beam and column elements. As wireless sensors are introduced into structural health monitoring systems, loss of data during transmission is one significant issue which needs to be addressed. An algorithm to patch the loss data is proposed and when integrated with the proposed damage detection method is experimentally shown to be feasible using a cantilever truss.

Application Recovery in Parallel Programming Environment

Lecture Notes in Computer Science, 2002

In this paper, fault-tolerant feature of TOPAS parallel programming environment for distributed s... more In this paper, fault-tolerant feature of TOPAS parallel programming environment for distributed systems is presented. TOPAS automatically analyzes data dependence among tasks and synchronizes data, which reduces the time needed for parallel program developments. TOPAS also provides supports for scheduling, load balancing and fault tolerance. The main topics of this paper is to present the solution for transparent recovery of asynchronous distributed computation on clusters of workstations without hardware spare when a fault occurs on a node. Experiments show simplicity and efficiency of parallel programming in TOPAS environment with fault-tolerant integration, which provides graceful performance degradation and quick reconfiguration time for application recovery.

Parallel Program Model for Distributed Systems

Lecture Notes in Computer Science, 2000

In this paper, we present a new model for parallel program development called Data Driven Graph (... more In this paper, we present a new model for parallel program development called Data Driven Graph (DDG). DDG integrates scheduling to parallel program development for cluster of workstations with PVM/MPI communication. DDG API library allows users to write efficient, robust parallel programs with minimal difficulty. Our experiments demonstrate the new parallel program model with real applications.

Cluster Computation for Flood Simulations1

Lecture Notes in Computer Science, 2001

Simulation of the water flood problems often leads to solving of large sparse systems of partial ... more Simulation of the water flood problems often leads to solving of large sparse systems of partial differential equations. For such systems, the numerical method is very CPU-time consuming. Therefore, the parallel simulation is essential for water flood study with satisfactory accuracy. In this paper, we present some experimental results of parallel numerical solutions done on Linux clusters. Our measurements indicate that Linux cluster can provide satisfactory power for parallel numerical solutions, especially for large problems. We also provide experimental results done on a SGI Origin2000 machine for comparison with Linux clusters.

FlowVocoder: A small Footprint Neural Vocoder based Normalizing Flow for Speech Synthesis

Interspeech 2022

Recently, non-autoregressive neural vocoders have provided remarkable performance in generating h... more Recently, non-autoregressive neural vocoders have provided remarkable performance in generating high-fidelity speech and have been able to produce synthetic speech in realtime. However, non-autoregressive neural vocoders such as WaveGlow are far behind autoregressive neural vocoders like WaveFlow in terms of modeling audio signals due to their limitation in expressiveness. In addition, though NanoFlow is a state-of-the-art autoregressive neural vocoder that has immensely small parameters, its performance is marginally lower than WaveFlow. Therefore, in this paper, we propose a new type of autoregressive neural vocoder called FlowVocoder, which has a small memory footprint and is able to generate high-fidelity audio in real-time. Our proposed model improves the expressiveness of flow blocks by operating a mixture of Cumulative Distribution Function (CDF) for bipartite transformation. Hence, the proposed model is capable of modeling waveform signals as well as WaveFlow, while its memory footprint is much smaller than WaveFlow. As shown in experiments, FlowVocoder achieves competitive results with baseline methods in terms of both subjective and objective evaluation, also, it is more suitable for real-time text-to-speech applications.

DDG Task Recovery for Cluster Computing

Parallel Processing and Applied Mathematics, 2002

This paper presents a solution for the problem of transparent recovery of asynchronous distribute... more This paper presents a solution for the problem of transparent recovery of asynchronous distributed computation on clusters of work- stations when a fault occurs on a node. If the system has fault-tolerant features, it can survive the fault and continues its computations. Per- formance degradation is unavoidable when hardware redundancies are not available. It is a large advantage if the long-runtime application can restart from a checkpoint instead of restarting whole computation. This paper presents the fault-tolerant feature of the DDG environment ori- ented to cluster systems without hardware spare.

Data Driven Graph: A Parallel Program Model for Scheduling

Languages and Compilers for Parallel Computing, 2000

In this paper, we present a new powerful method for parallel program representation called Data D... more In this paper, we present a new powerful method for parallel program representation called Data Driven Graph (DDG). DDG takes all advantages of classical Directed Acyclic Graph (DAG) and adds much more: simple definition, flexibility and ability to represent loops and dynamically created tasks. With DDG, scheduling becomes an efficient tool for increasing performance of parallel systems. DDG is not only a parallel program model, it also initiates a new parallel programming style, allows programmers to write a parallel program with minimal difficulty. We also present our parallel program development tool with support for DDG and scheduling.

Many-to-Many Voice Conversion Based Feature Disentanglement Using Variational Autoencoder

Interspeech 2021, 2021

Voice conversion is a challenging task which transforms the voice characteristics of a source spe... more Voice conversion is a challenging task which transforms the voice characteristics of a source speaker to a target speaker without changing linguistic content. Recently, there have been many works on many-to-many Voice Conversion (VC) based on Variational Autoencoder (VAEs) achieving good results, however, these methods lack the ability to disentangle speaker identity and linguistic content to achieve good performance on unseen speaker's scenarios. In this paper, we propose a new method based on feature disentanglement to tackle many-tomany voice conversion. The method has the capability to disentangle speaker identity and linguistic content from utterances, it can convert from many source speakers to many target speakers with a single autoencoder network. Moreover, it naturally deals with the unseen target speaker's scenarios. We perform both objective and subjective evaluations to show the competitive performance of our proposed method compared with other state-ofthe-art models in terms of naturalness and target speaker similarity.

Nutrient dynamics and eutrophication assessment in the tropical river system of Saigon – Dongnai (southern Vietnam)

Science of The Total Environment, 2019

Saigon-Dongnai Rivers in Southern Vietnam is a complex lowland hydrological network of tributarie... more Saigon-Dongnai Rivers in Southern Vietnam is a complex lowland hydrological network of tributaries that is strongly influenced by the tidal cycles. The increasing economic, industrial and domestic developments in and around Ho Chi Minh City (HCMC) have led to serious impacts on water quality due to lack of appropriate wastewaters treatment. Drinking water production is impacted and the large aquaculture production areas may also be affected. We analyzed spatial and seasonal variability of nutrient concentrations (Phosphorus, Nitrogen and Silica) and eutrophication indicators (Organic Carbon, 2 Chlorophyll-a and Dissolved Oxygen) based on bimonthly monitoring during two hydrological cycles (July 2015-December 2017). Four monitoring sites were selected to assess the impact of HCMC: two upstream stations on the Saigon River and Dongnai River branches to provide the reference water quality status before reaching the urbanized area of HCMC; one monitoring station in the city center to highlight Saigon River water quality within the heart of the megacity; the fourth station downstream of the confluence to evaluate the impact of HCMC on the estuarine waters. This study points to excess nutrients in HCMC's water body with concentrations of NH4 + and PO4 3averaging to 0.7 ± 0.6 mgN L-1 and 0.07 ± 0.06 mgP L-1 , respectively in mean over the monitored period and rising up to 3 mgN L-1 and 0.2 mgP L-1 , in extreme conditions. During the dry season, we evidenced that untreated domestic discharges leads to degradation of the Saigon River's water quality with extreme values of algal biomass (up 150 µChl-a L-1) and hypoxic conditions occurring episodically (DO < 2 mg L-1) in the heart of the megacity. Until now, eutrophication in the urban center has had no clear effect downstream because eutrophic water mass from the Saigon River is efficiently mixed with the Dongnai River and sea water masses during the successive semi-diurnal tidal cycles.

Three-Dimensional Analysis of Geogrid-Reinforced Soil Using a Finite-Discrete Element Framework

International Journal of Geomechanics, 2015

Three-dimensional analysis of soil-structure interaction problems considering the response at the... more Three-dimensional analysis of soil-structure interaction problems considering the response at the particle scale level is a challenging numerical modeling problem. An efficient framework that takes advantage of both the finiteand discrete-element approaches to investigate soil-geogrid interactions is described in this paper. The method uses finite elements to model the structural components and discrete particles to model the surrounding soil to reflect the discontinuous nature of the granular material. The coupled framework is used in this study to investigate two geotechnical engineering problems, namely, strip footing over geogrid-reinforced sand and geogrid-reinforced fill over a strong formation containing void. The numerical model is first validated using experimental data and then used to provide new insights into the nature of the three-dimensional interaction between the soil and the geogrid layer.

Parallel programming with data driven model

Proceedings 8th Euromicro Workshop on Parallel and Distributed Processing

In this paper, bye present a new powerful method for parallel program representation called Data ... more In this paper, bye present a new powerful method for parallel program representation called Data Driven Graph (DDG). DDG takes all advantages of classical Directed Acyclic graph (DAC) and adds much more. Simple definition, flexibility and ability to represent loops and dynamically created tasks. With DDG, scheduling becomes an efficient tool for increasing performance of parallel systems. DDG is not

Parallel Program Model and Environment

Parallel Computing - Fundamentals and Applications - Proceedings of the International Conference ParCo99, 2000

Parallel Flood Modeling

Parallel Computing - Advances and Current Issues - Proceedings of the International Conference ParCo2001, 2002

Parallel Numerical Solution for Flood Modeling Systems

Lecture Notes in Computer Science, 2002

Simulation of the water flood problems often leads to solving large sparse systems of partial dif... more

Parallel Flood Modeling Systems

Lecture Notes in Computer Science, 2002

Flood modeling is a complex problem that requires cooperation of many scientists in different are... more Flood modeling is a complex problem that requires cooperation of many scientists in different areas. In this paper, the architecture and results of the ANFAS (Data Fusion for Flood Analysis and Decision Support) project is presented. This paper also focuses on the parallel numerical solutions of flood modeling module that are the most computational-intensive part of the whole ANFAS architecture.

Flood modeling system and its parallelization

Proceedings. International Conference on Parallel Computing in Electrical Engineering

Flood modeling is a complex problem that requires cooperation of many scientists in different are... more Flood modeling is a complex problem that requires cooperation of many scientists in different areas. In this paper, the architecture and results of ANFAS (Data Fusion for Flood Analysis and Decision Support) project is presented. This paper also focuses on parallel numerical solutions of the flood modeling module, the most computationally intensive part of the whole ANFAS architecture.

Navigation modeling for Force XXI Command and Control simulation

IEEE 1998 Position Location and Navigation Symposium (Cat. No.98CH36153), 1998

As the Army pursues a digitized battlefield through Force XXI initiatives and Advanced Warfightin... more As the Army pursues a digitized battlefield through Force XXI initiatives and Advanced Warfighting Experiments (AWEs), the role of navigation systems is evolving. GPS provides a common, consistent and accurate location grid in which all battlefield players position and navigate themselves. Theater-wide time synchronization is also a benefit afforded by GPS. The advantages for coordinated operations such as rendezvous, amassing

Research Proposal: Worm Propagation Modeling

Research Final Report: Worm Propagation Modeling

Dissemination and exploitation of grids in Earth science

SPIE Proceedings, 2007

Earth Science (ES) is an all-encompassing term for sciences related to the planet Earth like seis... more Earth Science (ES) is an all-encompassing term for sciences related to the planet Earth like seismology, geology, hydrology, and meteorology. DEGREE is a Specific Support Action (SSA) project that aims to promote Grid technologies throughout the large and diverse Earth Science community as a platform for e-collaboration in academic and industrial organizations.

Structural Damage Detection Accounting for Loss of Data in Wireless Network Sensors

Key Engineering Materials, 2009

For detection of damage in frame and truss structures, the normalized cumulative energy is propos... more For detection of damage in frame and truss structures, the normalized cumulative energy is proposed as the identification parameter within the framework of the damage locating vector (DLV) method. Due to the limited number of sensors used, it is necessary to filter out the actual damaged elements from the identified set of potential damaged elements. An intersection scheme using only the measured signals is proposed for the filtering and verified using a warehouse frame comprising truss, beam and column elements. As wireless sensors are introduced into structural health monitoring systems, loss of data during transmission is one significant issue which needs to be addressed. An algorithm to patch the loss data is proposed and when integrated with the proposed damage detection method is experimentally shown to be feasible using a cantilever truss.

Application Recovery in Parallel Programming Environment

Lecture Notes in Computer Science, 2002

In this paper, fault-tolerant feature of TOPAS parallel programming environment for distributed s... more In this paper, fault-tolerant feature of TOPAS parallel programming environment for distributed systems is presented. TOPAS automatically analyzes data dependence among tasks and synchronizes data, which reduces the time needed for parallel program developments. TOPAS also provides supports for scheduling, load balancing and fault tolerance. The main topics of this paper is to present the solution for transparent recovery of asynchronous distributed computation on clusters of workstations without hardware spare when a fault occurs on a node. Experiments show simplicity and efficiency of parallel programming in TOPAS environment with fault-tolerant integration, which provides graceful performance degradation and quick reconfiguration time for application recovery.

Parallel Program Model for Distributed Systems

Lecture Notes in Computer Science, 2000

In this paper, we present a new model for parallel program development called Data Driven Graph (... more In this paper, we present a new model for parallel program development called Data Driven Graph (DDG). DDG integrates scheduling to parallel program development for cluster of workstations with PVM/MPI communication. DDG API library allows users to write efficient, robust parallel programs with minimal difficulty. Our experiments demonstrate the new parallel program model with real applications.

Cluster Computation for Flood Simulations1

Lecture Notes in Computer Science, 2001

Simulation of the water flood problems often leads to solving of large sparse systems of partial ... more Simulation of the water flood problems often leads to solving of large sparse systems of partial differential equations. For such systems, the numerical method is very CPU-time consuming. Therefore, the parallel simulation is essential for water flood study with satisfactory accuracy. In this paper, we present some experimental results of parallel numerical solutions done on Linux clusters. Our measurements indicate that Linux cluster can provide satisfactory power for parallel numerical solutions, especially for large problems. We also provide experimental results done on a SGI Origin2000 machine for comparison with Linux clusters.