Solutions to ensure voice consistency
There may be inconsistencies in the output of Dia generated speech each time:
- Fixed random seed: Use the -seed parameter (e.g., -seed 35) in the Gradio interface or on the command line to ensure that the same speech features are generated under the same conditions
- Using Audio Cues: Upload a reference audio WAV file, which the system will base on this sample to maintain voice feature consistency (note that audio quality requires a 16kHz sampling rate)
- parameter optimization: Reduce the temperature parameter (1.0-1.3 range recommended) and top-p parameter (0.9-0.95 recommended) to minimize randomness.
Implementation Steps:
- First test a small number of samples in the Gradio interface to determine the optimal seed value
- Using the python cli.py command to batch process with the seed argument
- Important projects recommend creating a library of audio samples as a benchmark for cues
Note: Full determinism needs to be paired with the same hardware environment and code version.
This answer comes from the articleDia: text-to-speech modeling for generating hyper-realistic multiplayer conversationsThe
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