Dataset Card for librispeech_asr

  Dataset Summary

LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned.

  Supported Tasks and Leaderboards

automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic… See the full description on the dataset page: https://huggingface.co/datasets/openslr/librispeech_asr.

Merge Librispeech audio files with punctuation and captalization restored transcripts from LibriSpeech-PC. I refered to the original LibriSpeech dataset module script from HuggingFace Datasets (https://huggingface.co/datasets/openslr/librispeech_asr). If you already have downloaded the LibriSpeech dataset via load_dataset('openslr/librispeech_asr'), the script will use the extracted audio files from the local directory and not download them twice. (only tested in my local environment though)

All eight of datasets in ESB can be downloaded and prepared in just a single line of code through the Hugging Face Datasets library: from datasets import load_dataset

librispeech = load_dataset("esb/datasets", "librispeech", split="train")

"esb/datasets": the repository namespace. This is fixed for all ESB datasets.

"librispeech": the dataset name. This can be changed to any of any one of the eight datasets in ESB to download that dataset.

split="train": the split. Set this to one of… See the full description on the dataset page: https://huggingface.co/datasets/hf-audio/esb-datasets-test-only.

All eight of datasets in ESC can be downloaded and prepared in just a single line of code through the Hugging Face Datasets library: from datasets import load_dataset

librispeech = load_dataset("esc-benchmark/esc-datasets", "librispeech", split="train")

"esc-benchmark": the repository namespace. This is fixed for all ESC datasets.

"librispeech": the dataset name. This can be changed to any of any one of the eight datasets in ESC to download that dataset.

split="train": the split. Set this… See the full description on the dataset page: https://huggingface.co/datasets/esc-bench/esc-datasets.