Vaani Noise Event Timestamps: Multilingual Speech from India

India's linguistic diversity across all districts is captured in this derived dataset from Project Vaani, a large-scale multilingual speech initiative by IISc Bangalore and ARTPARK. The dataset contains noise event timestamps and is actively being built, with a current subset of a planned corpus of approximately 167 hours of training data. The dataset page was last updated on 2026-06-05.

Use Cases

• Train noise detection models based on annotated noise event timestamps.
• Develop speech enhancement algorithms based on isolated noise segments.
• Benchmark multilingual speech recognition systems based on data covering India's linguistic diversity.
• Study acoustic environments across India's districts based on the geographic scope of the corpus.

Strengths

• Derived from Project Vaani, a large-scale initiative by IISc Bangalore and ARTPARK.
• Planned corpus includes approximately 167 hours of training data.
• Covers India's linguistic diversity across all districts.

Limitations

• Dataset is incomplete and actively being built, with only a subset currently available.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown.

Provenance

Source

Project Vaani, a collaboration between IISc Bangalore and ARTPARK.

Collection Method

Derived from a large-scale multilingual speech collection initiative.

Freshness

Last updated 2026-06-05 19:46:11; freshness should be verified.

Geography

India, covering all districts.