Librispeech Audio Dataset For Speech Recognition

Librispeech40 is a speech audio dataset derived from the LibriSpeech corpus, containing English audiobook recordings. The dataset was created by Voicemod and uploaded to Hugging Face in May 2022. Specific volume and row counts are not detailed in the provided metadata.

Use Cases

• Train automatic speech recognition models using the provided English audio recordings and corresponding text transcripts.
• Benchmark speech-to-text model accuracy on clean, read speech samples from audiobooks.
• Extract and analyze acoustic features like MFCCs or spectrograms from the audio files for speech processing research.
• Fine-tune pre-trained audio models on a domain-specific corpus of literary English speech.

Strengths

• Derived from the well-known and widely used LibriSpeech corpus, ensuring a foundation of quality audio data.
• Hosted on the Hugging Face platform, facilitating easy access and integration with popular ML libraries.

Limitations

• The exact number of audio hours, speakers, and utterances is unknown, limiting reproducibility assessments.
• Dataset may be limited to read speech from audiobooks, lacking spontaneous conversational data.
• Last update was in 2022, which may indicate staleness relative to newer speech datasets.

Provenance

Source

Derived from the LibriSpeech corpus.

Collection Method

Audio recordings from public domain audiobooks.

Time Range

null

Freshness

Last updated in May 2022.

Geography

Primarily US English speakers.