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Incorrect Whisper long-form decoding timestamps #31942

Description

@Robinysh

System Info

  • transformers version: 4.42.4
  • Platform: Linux-6.8.9-arch1-2-x86_64-with-glibc2.39
  • Python version: 3.11.9
  • Huggingface_hub version: 0.23.4
  • Safetensors version: 0.4.3
  • Accelerate version: not installed
  • Accelerate config: not found
  • PyTorch version (GPU?): 2.3.1 (True)
  • Tensorflow version (GPU?): not installed (NA)
  • Flax version (CPU?/GPU?/TPU?): not installed (NA)
  • Jax version: not installed
  • JaxLib version: not installed
  • Using distributed or parallel set-up in script?: No
  • Using GPU in script?: Yes
  • GPU type: NVIDIA GeForce RTX 3090

Who can help?

@Narsil @sanchit-gandhi

Information

  • The official example scripts
  • My own modified scripts

Tasks

  • An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
  • My own task or dataset (give details below)

Reproduction

import numpy as np
import json
from transformers import pipeline, AutoModelForSpeechSeq2Seq, AutoProcessor
import torch
from datasets import load_dataset

device = "cuda"
torch_dtype = torch.bfloat16
# model_id = "openai/whisper-large-v3"
model_id = "distil-whisper/distil-large-v3"

model = AutoModelForSpeechSeq2Seq.from_pretrained(
    model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=False, use_safetensors=True
)
model.to(device)
processor = AutoProcessor.from_pretrained(model_id)
pipe = pipeline(
    "automatic-speech-recognition",
    model=model,
    tokenizer=processor.tokenizer,
    feature_extractor=processor.feature_extractor,
    max_new_tokens=None,
    torch_dtype=torch_dtype,
    device=device,
)

dataset = load_dataset(
    "hf-internal-testing/librispeech_asr_dummy", "clean", split="validation"
)
sample = dataset[0]["audio"]
sample = np.concatenate([sample["array"]] * 10)

results = pipe(
    sample,
    return_timestamps=True,
    generate_kwargs={
        "language": "english",
    },
)
print(json.dumps(results, indent=4))

Output

{
    "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome His Gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel. Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel.",
    "chunks": [
        {
            "timestamp": [
                0.0,
                6.5
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        },
        {
            "timestamp": [
                6.5,
                12.5
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        },
        {
            "timestamp": [
                12.5,
                18.24
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome His Gospel."
        },
        {
            "timestamp": [
                18.24,
                24.0
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        },
        {
            "timestamp": [
                24.0,
                29.84
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        },
        {
            "timestamp": [
                0.0,
                4.7
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        },
        {
            "timestamp": [
                5.76,
                10.54
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        },
        {
            "timestamp": [
                11.6,
                16.4
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        },
        {
            "timestamp": [
                17.46,
                22.26
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        },
        {
            "timestamp": [
                23.12,
                28.12
            ],
            "text": " Mr. Quilter is the Apostle of the Middle Classes, and we are glad to welcome his gospel."
        }
    ]
}

Expected behavior

Currently the timestamp resets to zero after 30s of audio. I expect the timestamps to increase monotonically.

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