CUSTOMAUDIOCOMMAND SPEECH
Instruction and Command Voice Sessions
Command-style voice sessions with prompt IDs, intent categories, correction markers, transcript alignment, speaker metadata, and QA fields for instruction-following voice systems.
CUSTOMAUDIOEXPRESSIVE SPEECH
Expressive and Styled Speech Sets
Prompted speech collection format for tone, pacing, emphasis, emotion, speaking style, TTS evaluation, and voice-agent persona testing.
Expressive and Styled Speech Sets are built for teams evaluating voice systems beyond neutral read speech. The format captures controlled variation in tone, pacing, emphasis, emotion, speaking style, and delivery consistency.
Style taxonomies can be configured for calm, formal, informal, energetic, slow, fast, emphatic, neutral, empathetic, or buyer-defined voice behaviors.
Structured collection
Expressive and Styled Speech Sets use controlled prompt lists and style instructions.
Metadata depth
The format supports utterance-level and word-level alignment for TTS evaluation, prompt-style consistency testing, and…
Delivery-ready package
Includes audio quality, prompt match, style match reviews, plus dataset manifest, CSV catalog, consent status metadata, QA…
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Share your target styles, speaker setup, transcript requirements, annotation needs, and evaluation goals. We’ll reply with a technical scope for the collection.
Key highlights
- Prompted speech sessions organized by style category and prompt ID.
- Transcript alignment connected to style labels and speaker metadata.
- Capture configuration prepared for TTS evaluation and voice quality review.
Dataset contents
Audio capture
Expressive speech audio files · Prompt text · Prompt IDs · Transcript files
Transcript structure
Style labels · Emotion labels where scoped · Speaker metadata · Voice profile metadata where scoped
Speaker and session metadata
Recording context metadata · Audio quality metadata
Technical specifications
Use cases
- TTS evaluation
- Expressive voice generation testing
- Voice-agent persona testing
- Emotion-aware speech evaluation
- Style transfer evaluation
- Prompt-style consistency testing
- Synthetic voice quality benchmarking
Dataset workflow
1Collection
Expressive and Styled Speech Sets use controlled prompt lists and style instructions. Contributors record the same or varied prompts across defined delivery styles so buyers can evaluate voice behavior across consistent speech content.
2Review
Audio quality review · Prompt match review · Style match review · Transcript alignment review · Annotation consistency review · Consent status review · Delivery approval
3Delivery
Audio files · Transcript JSON · Style label CSV · Speaker/session metadata CSV · Annotation files where scoped · Dataset manifest JSON · CSV file catalog · QA summary · Consent status metadata · Delivery notes
Quality assurance
Related dataset formats
CUSTOMAUDIODIALOGUE
Natural English Dialogue Sets
Multi-speaker English dialogue sets with speaker-labeled transcripts, timestamped turns, accent/session metadata, optional separated-channel audio, and buyer-scoped annotations for ASR, diarization, and voice-agent evaluation.
CUSTOMAUDIOACCENT COVERAGE
Accent and Regional Speech Sets
Accent-focused speech sets with speaker profile metadata, region fields, prompt categories, transcript alignment, and QA status fields for ASR robustness and voice-agent coverage.
CUSTOMAUDIOMULTILINGUAL
Cross-Language Dialogue Sets
Multilingual dialogue sets with speaker-labeled transcripts, locale metadata, language-span fields, accent or dialect notes, and aligned transcript structures for multilingual ASR and voice-agent evaluation.
CUSTOMAUDIOSUPPORT DIALOGUE
Customer Service Dialogue Simulations
Role-based support dialogue sets with customer/agent labels, scenario metadata, intent categories, resolution outcomes, transcript structure, and QA fields for support automation evaluation.
CUSTOMANY MODALITYBUYER-SCOPED
Buyer-Scoped Custom Collection
Fully scoped custom data collection with buyer-defined modality, schema, metadata fields, annotation layers, QA criteria, manifest structure, delivery package, and collection rules.