AI-generated Answer for nathancaracho.
Yes, you can reduce voice generation latency by using chunk processing. Here are some methods:
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Input Streaming Websockets: Stream text prompts to the TTS service while audio is being generated. Sending smaller chunks, such as word by word, can result in faster rendering. The model and tooling leverage context to maintain sentence structure even with smaller chunks.
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Chunk Length Schedule: Adjusting the chunk_length_schedule can help. While larger chunks generally improve context and pronunciation, smaller chunks can reduce latency. However, be mindful that reducing latency this way might affect quality.
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Flush Setting: When developing real-time applications, using flush=true at the end of a conversation turn can ensure timely audio generation.
These methods can help optimize latency, but it's important to balance them with the desired audio quality.
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