LibriSpeech-Male-Female.

The LibriSpeech dataset is a large corpus of approximately 1,000 hours of 16kHz read English speech, derived from public domain audiobooks from the LibriVox project. It is widely used for training and evaluating automatic speech recognition (ASR) systems, and the data has been meticulously segmented and aligned with corresponding text transcripts. This dataset is about classifying male vs. female voices

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• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies