distil-whisper/librispeech_asr-timestamped

---
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: LibriSpeech ASR
---

# Distil Whisper: LibriSpeech ASR With Timestamps

This is a variant of the [LibriSpeech ASR](https://huggingface.co/datasets/librispeech_asr) dataset, augmented to return the pseudo-labelled Whisper
Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by
labelling the input audio data with the Whisper [large-v2](https://huggingface.co/openai/whisper-large-v2)
model with *greedy* sampling and timestamp prediction. For information on how the original dataset was curated, refer to the original
[dataset card](https://huggingface.co/datasets/librispeech_asr).

## Standalone Usage

First, install the latest version of the 🤗 Datasets package:

```bash
pip install --upgrade pip
pip install --upgrade datasets[audio]
```

The dataset can be downloaded and pre-processed on disk using the [`load_dataset`](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/loading_methods#datasets.load_dataset)
function:

```python
from datasets import load_dataset

dataset = load_dataset("distil-whisper/librispeech_asr", "all")
# take the first sample of the validation set
sample = dataset["validation.clean"][0]
```

It can also be streamed directly from the Hub using Datasets' [streaming mode](https://huggingface.co/blog/audio-datasets#streaming-mode-the-silver-bullet).
Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire
dataset to disk:

```python
from datasets import load_dataset

dataset = load_dataset("distil-whisper/librispeech_asr", "all", streaming=True)
# take the first sample of the validation set
sample = next(iter(dataset["validation.clean"]))
```

## Distil Whisper Usage

To use this dataset to reproduce a Distil Whisper training run, refer to the instructions on the
[Distil Whisper repository](https://github.com/huggingface/distil-whisper#training).

## License

This dataset is licensed under cc-by-4.0.

This is a variant of the LibriSpeech ASR dataset, augmented to return the pseudo-labelled Whisper transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by labelling the input audio data with the Whisper large-v2 model with greedy sampling and timestamp prediction. The dataset supports standalone usage and streaming, allowing users to install the 🤗 Datasets package and load the dataset using the load_dataset function. Additionally, the dataset is licensed under cc-by-4.0.

原始信息汇总

Distil Whisper: LibriSpeech ASR With Timestamps

数据集概述

• 名称: Distil Whisper: LibriSpeech ASR With Timestamps
• 类型: 自动语音识别数据集
• 语言: 英语
• 许可证: cc-by-4.0

数据集描述

该数据集是LibriSpeech ASR数据集的变体，增加了伪标记的Whisper转录本。这些伪标记转录本是通过使用Whisper large-v2模型进行贪婪采样和时间戳预测生成的。

使用方法

独立使用

1. 安装最新版本的🤗 Datasets包： bash pip install --upgrade pip pip install --upgrade datasets[audio]

2. 使用load_dataset函数下载和预处理数据集： python from datasets import load_dataset

   dataset = load_dataset("distil-whisper/librispeech_asr", "all") sample = dataset["validation.clean"][0]

3. 也可以使用流模式直接从Hub加载数据集： python from datasets import load_dataset

   dataset = load_dataset("distil-whisper/librispeech_asr", "all", streaming=True) sample = next(iter(dataset["validation.clean"]))

Distil Whisper 使用

如需使用此数据集复现Distil Whisper训练运行，请参考Distil Whisper仓库中的说明。