Emotional text-to-speech: how expressivity controls fix flat delivery
Blog post from Deepgram
Deepgram’s Flux TTS expressivity setting is presented as a session-level control for delivery register, adjusting pitch variation and pacing on an integer scale from -2 for calmer speech to +2 for more animated speech, while 0 remains each voice’s production-tuned default. The guide argues that voice agents often sound “robotic” because their delivery remains in one register throughout a conversation, making configuration testing a less costly first step than changing models. Expressivity applies only to Flux TTS, not Aura-2, persists automatically across turns, cannot be changed during an active connection, and differs from emotional TTS systems that require per-line labels. Although Flux TTS is generally available, expressivity is beta, with non-default values carrying higher risks of hallucinations and pronunciation errors; therefore, the default is recommended for production and regulated or high-stakes uses, while calmer settings may suit support, IVR, and de-escalation, and more animated settings may fit consumer or outbound applications. Users are advised to test real production scripts on their selected voice and setting, handle invalid-parameter connection failures, and repeat validation after model updates, as voices vary in their response to the same value.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Voice AI | 8 | 3,407 | 304 | 50 | +20% |
| Deepgram Aura-2 | 4 | 30 | 7 | 1 | +131% |
| LLM | 1 | 6,012 | 1,158 | 239 | +15% |
| Real-time | 1 | 4,824 | 1,080 | 238 | +4% |
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