Indian Languages Audio Dataset for Speech Recognition

An audio dataset containing speech samples from multiple Indian languages, sourced from Kaggle. The dataset is tagged for use in Artificial Intelligence and audio processing tasks. Specific details on the number of recordings, contributors, and collection date are not provided.

Use Cases

• Train automatic speech recognition models using audio recordings of various Indian languages.
• Develop language identification systems by classifying audio clips into specific Indian language categories.
• Benchmark speaker diarization or accent recognition algorithms on a multilingual Indian audio corpus.
• Create text-to-speech synthesis systems for Indian languages using recorded speech samples.

Strengths

• Focuses on multiple Indian languages, supporting multilingual model development.
• Hosted on Kaggle, a platform with established data sharing and versioning infrastructure.

Limitations

• The total number of audio files, speakers, and recording hours is unknown.
• Audio quality parameters, recording conditions, and speaker demographics are unspecified.
• Potential class imbalance between different languages cannot be assessed without sample data.

Provenance

Source

Kaggle

Geography

India