README.md

metadata

license: apache-2.0
dataset_info:
  features:
    - name: text
      dtype: string
    - name: words
      list:
        - name: end
          dtype: int64
        - name: start
          dtype: int64
        - name: text
          dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
  splits:
    - name: train
      num_bytes: 354796679.02
      num_examples: 2620
  download_size: 351020954
  dataset_size: 354796679.02
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - automatic-speech-recognition
language:
  - en
tags:
  - asr
  - librispeech
  - timestamp
  - librispeech_asr
  - automatic_speech_recognition
size_categories:
  - 1K<n<10K

Word-level timestamp annotated Librispeech ASR test set

This dataset contains word-level timestamp information for the Librispeech ASR test (clean) dataset.

It contains 2620 short files that have been force-aligned with its text to get reasonably accurate word-level timestamp information.

Suitable for use in timestamp benchmarking of ASR models or audio dataset preprocessing.

To request access to more datasets like this, please fill out this form: https://forms.gle/n6cwAfYD9sUTZURY9.

Usage

from datasets import load_dataset

dataset = load_dataset("olympusmons/librispeech_asr_test_clean_word_timestamp")
print(dataset)