Msp Podcast: Audio Speech Data Collection

Msp Podcast is an audio dataset published on the Hugging Face platform by CLAPv2. The dataset was last updated on 2025-05-11. Its specific content, scale, and collection methodology are not detailed in the available metadata.

Use Cases

• Training automatic speech recognition models on podcast audio (inferred from domain, verify after download)
• Developing podcast genre or topic classification systems (inferred from domain, verify after download)
• Extracting and analyzing speaker diarization in conversational audio (inferred from domain, verify after download)

Strengths

• Published on the Hugging Face platform, facilitating access.
• Last updated on 2025-05-11 11:40:45.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

CLAPv2

Collection Method

Likely contains podcast audio recordings, but the specific gathering method is unknown.

Time Range

null

Freshness

Last updated 2025-05-11 11:40:45.

Geography

null