toiar/Khasi-OmniVoice-TTS-Data

Khasi Omni Voice TTS Dataset

The Khasi Omni Voice dataset is a comprehensive, high-quality audio collection designed specifically for Text-to-Speech (TTS) research and model training in the Khasi language. It features nearly 50 hours of speech data targeting realistic, modern Khasi speech patterns, including natural code-switching.

Key Statistics

• Total Duration: 49 hours, 53 minutes, 19.98 seconds
• Total Samples: 18,874 distinct audio utterances
• Language: Khasi (kha), featuring natural code-switching
• Speaker Demographics: Voices recorded from individuals ranging from 13 to 25 years of age (Teenagers to Young Adults)
• Dataset Size: ~8.7 GB

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Audio Quality & Processing

To ensure high-fidelity outputs for TTS synthesis, all raw audio has undergone rigorous preparation:

• Audio Cleaning: Background noise, clicks, and environmental artifacts have been removed.
• Speech Enhancement: Vocal tracks have been enhanced for maximum clarity.

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Dataset Structure

Each row in the dataset corresponds to a single spoken utterance paired with its textual transcription and speaker metadata.

Data Fields

• id (string): A unique identifier for the audio sample (e.g., audio_00001).
• audio (audio): The loaded audio dictionary containing the raw audio array, sampling rate, and file path.
• text (string): The Khasi text transcription of the spoken audio.
• language_id (string): The language code, primarily set to kha.