Silencio Network: Voice AI Speech Samples from a Global Community

100,000+ hours of speech data collected from a community of over 2 million contributors across 180+ countries and 100+ languages. This sample dataset is provided by SilencioNetwork, with the full corpus last updated in April 2026. The data is described as being collected 'in the wild' from an opt-in community.

Use Cases

• Training automatic speech recognition (ASR) models on real-world accents and dialects.
• Developing text-to-speech (TTS) systems with diverse voice characteristics.
• Building voice AI applications robust to different recording devices and acoustic environments.
• Conducting linguistic research on dialectal variation across 100+ languages.

Strengths

• Extremely large scale with over 100,000 hours of audio data.
• High contributor diversity from over 2 million people in 180+ countries.
• Broad linguistic coverage across 100+ languages.
• Data is collected 'in the wild', likely capturing real-world acoustic conditions.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown.

Provenance

Source

SilencioNetwork

Collection Method

Collected 'in the wild' from a massive, opt-in community of contributors.

Time Range

null

Freshness

Last updated 2026-04-06 20:22:26; freshness should be verified.

Geography

Global coverage across 180+ countries.