Tamil Speech Recordings for Text-to-Speech Research

20.33 hours of high-quality Tamil speech recordings from male and female speakers, with corresponding text transcriptions. The dataset, created by SPRINGLab, is derived from the Indic TTS Database project and is suitable for text-to-speech model development.

Use Cases

• Train a text-to-speech model using the Tamil speech recordings and text transcriptions.
• Analyze acoustic features from the male and female speaker recordings to study voice characteristics.
• Fine-tune a speech synthesis model on the approximately 20.33 hours of Tamil audio data.

Strengths

• Contains approximately 20.33 hours of audio data, with a balanced split between male (10.3 hours) and female (10.03 hours) speakers.
• Provides high-quality speech recordings specifically for the Tamil language.
• Includes corresponding text transcriptions, enabling supervised training for TTS systems.

Limitations

• The total duration of 20.33 hours may be limited for training large, state-of-the-art TTS models without additional data.
• Specific details on speaker count, recording conditions, and demographic diversity are not provided in the input.
• The dataset's audio format and sampling rate are not detailed in the provided description.

Provenance

Source

Indic TTS Database project

Collection Method

Derived from Tamil monolingual recordings.

Time Range

null

Freshness

null

Geography

null