Telephone speech comes with interruptions, channel limitations, and domain language. Define those conditions before deciding what a useful audio sample should contain.
Match the actual call domain
Describe the conversations your model must recognize, including languages, call reasons, specialist vocabulary, and interaction length. Distinguish authentic operational calls from roleplay or synthetic speech. A generic conversational label does not establish that a source contains the terminology and interaction patterns your task needs.
Specify source audio conditions
State the channel arrangement, original capture requirements, acceptable quality issues, and allowed transformations. Request representative examples of clipping, background activity, transfers, and quiet speakers when relevant. Keep original and derived versions connected so resampling or enhancement is visible in the preparation history.
Define reference transcripts
Provide rules for fillers, interruptions, numbers, uncertain speech, and timestamps. Review a pilot against audio rather than treating an existing transcript as an unquestioned reference. Report performance by language, domain, and recording conditions so the evaluation does not hide weak slices inside a single aggregate score.
Discuss a reviewed sourcing scope
Send Fiund your audio specification, transcript examples, coverage priorities, and pilot questions. Potential sources require project-specific assessment of origin, access, permitted processing, and sensitive information. Start with the smallest representative sample that can establish whether the source supports the intended recognition task.
Include in your inquiry
- Languages and operational domains
- Channel and source-audio requirements
- Transcription and timestamp conventions
- Source-review and pilot acceptance questions