CASPER: Large Scale Spontaneous English Speech Conversations

A speech dataset comprised of recordings of two people engaging in spontaneous conversations in English. The dataset aims to fill the gap in high quality spontaneous speech data and was created by CASPER-SSSD, last updated on June 16, 2025. Conversations were conducted over a custom-built web platform from each participant's end and their own device.

Use Cases

• Train automatic speech recognition (ASR) models based on spontaneous, conversational English speech.
• Develop natural language understanding (NLU) models based on the diverse range of topics covered in the conversations.
• Benchmark speech synthesis or voice cloning models against genuine, natural conversational audio.
• Study conversational dynamics and turn-taking based on the two-person interaction structure.

Strengths

• Designed to fill a gap in high quality spontaneous speech data.
• Recordings were made from each participant's own device, fostering genuine interactions.
• Conversations cover a diverse range of topics, as mentioned in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

CASPER-SSSD

Collection Method

Recordings of two people conversing over a custom-built web platform from their own devices.

Time Range

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Freshness

Last updated 2025-06-16 13:16:52; freshness should be verified.

Geography

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