The goal of this paper is to evaluate the contribution of speaker change detection (SCD) to the p... more The goal of this paper is to evaluate the contribution of speaker change detection (SCD) to the performance of a speaker diarization system in the telephone domain. We compare the overall performance of an i-vector based system using both SCD-based segmentation and a naive constant length segmentation with overlapping segments. The diarization system performs K-means clustering of i-vectors which represent the individual segments, followed by a resegmentation step. Experiments were done on the English part of the CallHome corpus. The final results indicate that the use of speaker change detection is beneficial, but the differences between the two segmentation approaches are diminished by the use of resegmentation.
In this paper methods are proposed which can be used to select a set of phonetically balanced sen... more In this paper methods are proposed which can be used to select a set of phonetically balanced sentences. The principle of the methods is presented and some experimental results are given. In the end of the paper the use of the proposed methods for the Czech read-speech corpus design is described in detail and the structure of the corpus is explained.
This paper deals with a problem of segmentation of speech that was recorded by two microphones si... more This paper deals with a problem of segmentation of speech that was recorded by two microphones simultaneously. We suppose that we have a stereo record of an interview between two speakers. The interview is recorded in such a way that each speaker has his/her own microphone and the signal from each microphone is stored in one channel of a stereo signal. Although each microphone receives speech from the both speakers, the speech received by the microphone closer to the respective speaker is much cleaner and much more useful e.g. for speech recognition than the speech received by the farther microphone. Therefore our aim is to segment the stereo signal with respect to which speaker is just speaking. For a solution of this aim we propose two novel highly efficient methods that we call CAMP (Compare AMPlitude method) and RESPEC (REsiduum of SPECtrum).
The goal of this paper is to evaluate the contribution of speaker change detection (SCD) to the p... more The goal of this paper is to evaluate the contribution of speaker change detection (SCD) to the performance of a speaker diarization system in the telephone domain. We compare the overall performance of an i-vector based system using both SCD-based segmentation and a naive constant length segmentation with overlapping segments. The diarization system performs K-means clustering of i-vectors which represent the individual segments, followed by a resegmentation step. Experiments were done on the English part of the CallHome corpus. The final results indicate that the use of speaker change detection is beneficial, but the differences between the two segmentation approaches are diminished by the use of resegmentation.
In this paper methods are proposed which can be used to select a set of phonetically balanced sen... more In this paper methods are proposed which can be used to select a set of phonetically balanced sentences. The principle of the methods is presented and some experimental results are given. In the end of the paper the use of the proposed methods for the Czech read-speech corpus design is described in detail and the structure of the corpus is explained.
This paper deals with a problem of segmentation of speech that was recorded by two microphones si... more This paper deals with a problem of segmentation of speech that was recorded by two microphones simultaneously. We suppose that we have a stereo record of an interview between two speakers. The interview is recorded in such a way that each speaker has his/her own microphone and the signal from each microphone is stored in one channel of a stereo signal. Although each microphone receives speech from the both speakers, the speech received by the microphone closer to the respective speaker is much cleaner and much more useful e.g. for speech recognition than the speech received by the farther microphone. Therefore our aim is to segment the stereo signal with respect to which speaker is just speaking. For a solution of this aim we propose two novel highly efficient methods that we call CAMP (Compare AMPlitude method) and RESPEC (REsiduum of SPECtrum).
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Papers by Vlasta Radová