TTS datasets · Speech Emotion Recognition
TTS Training Data for Speech Emotion Recognition
Single-speaker and multi-speaker text-to-speech corpora with phonetically balanced scripts, consistent prosody, and studio-grade capture suitable for neural TTS. Applied to speech emotion recognition, the specification is driven by one thing: per-class f1.
- Service
- TTS datasets
- Use case
- Speech Emotion Recognition
- Primary metric
- Per-class F1
Required data profile
- Elicited and natural emotional speech
- Multi-rater emotion labels with adjudication
- Balanced across emotion classes
Technical specification
| Parameter | Standard |
|---|---|
| Sample rate | 48 kHz, 24-bit |
| Speaker consistency | Same booth, mic, distance and time-of-day banding across sessions |
| Script | Phonetically balanced, diphone-covering, domain-extended |
| Prosody | Neutral base set plus optional expressive styles |
| Alignment | Text-audio alignment verified per utterance |
| Silence | Leading/trailing silence trimmed to a fixed window |
Process
- Script generation with phoneme and diphone coverage analysis
- Voice casting with client shortlisting from audition samples
- Multi-session recording with drift monitoring between sessions
- Alignment verification and mispronunciation review by a linguist
- Delivery with a coverage report
Metrics this feeds
- Per-class F1
- Inter-rater agreement on labels
- Escalation detection latency
Failure modes to design out
- Acted emotion only
- Single-rater labels on an inherently subjective task
Session drift is the main TTS killer. Every session is compared acoustically against the reference session and re-recorded if it drifts.
Deliverables
- Studio WAV per utterance
- Verified transcripts and pronunciation notes
- Phoneme coverage report
- Voice talent licence and consent documentation
Frequently asked
Is tts datasets the right service for speech emotion recognition?
It covers elicited and natural emotional speech. Most speech emotion recognition programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.
What languages are available?
All 14 languages in the network plus Indian English accent bands.
How is the evaluation set handled?
Collected first, from speakers disjoint from the training cohort, so improvement is measurable.
Scope tts datasets for speech emotion recognition
Send the metric you need to move.