Speech prosody across languages: what transfers and what breaks

Prosody support for multilingual voice agents depends on separate transcription, conversational recognition with turn detection, and speech-synthesis layers, represented by Nova-3, Flux Multilingual, and Aura-2 respectively, so language availability must overlap across all required layers for full agent deployment. Nova-3 supports transcription of Mandarin, Cantonese, and Thai, but Flux Multilingual’s ten-language conversational coverage excludes tonal languages, limiting those markets to transcription workloads rather than live conversations; Aura-2 provides multilingual synthesis, including Japanese, while Flux TTS is English-only. The distinction is important because tone languages use pitch to distinguish word meanings, pitch-accent languages such as Japanese use accent position to shape word melody, and other languages employ pitch, phrasing, duration, loudness, and timing differently for emphasis and politeness. Real-time recognition is especially difficult in tonal languages because pitch must simultaneously convey lexical meaning and help identify turn endings, while streaming systems may need additional audio context before accurately resolving a tone. The guide recommends evaluating support separately for each layer, testing difficult real-world audio and turn behavior, using native listeners to assess synthesized politeness and register, and avoiding production deployment in languages that do not meet acceptance criteria across transcription, conversation, and synthesis.

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