LibriSpeech English Speech Corpus with 1000 Hours of Audio

The LibriSpeech corpus contains approximately 1000 hours of read English speech, sampled at 16 kHz. It was prepared by Vassil Panayotov with assistance from Daniel Povey, derived from audiobooks in the LibriVox project.

Use Cases

• Train automatic speech recognition models on 1000 hours of English speech data.
• Segment and align audio data derived from LibriVox audiobooks for linguistic analysis.
• Process audio stored in .flac format for conversion to float32 arrays using the provided mapping function.

Strengths

• Approximately 1000 hours of audio data provides a substantial volume for training.
• Audio is carefully segmented and aligned, indicating structured preparation.
• Data is derived from the LibriVox project, a known source of public domain audiobooks.

Limitations

• The audio is stored in .flac format, requiring conversion before typical array-based processing.
• The dataset consists solely of read speech from audiobooks, which may not represent conversational or spontaneous speech patterns.
• Specific details on speaker demographics, recording conditions, or transcript accuracy are not provided in the input.

Provenance

Source

LibriVox project audiobooks.

Collection Method

Derived from read audiobooks, carefully segmented and aligned.

Time Range

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Freshness

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Geography

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