Speech Rate Cannot Be Changed After Training — Parameters Are Accepted but Ignored
📝 Originally published (in Japanese) at forge.workstyle.tech . We are creating voice models for different roles: narrator, call center, sales, and MC. Each role should have a distinct speaking style. Initially, we thought, "We only need to train the model once, and we can adjust speech rate and intonation during synthesis." The synthesis API had a parameter that seemed to control speech rate.…
The wire material discusses a limitation in voice synthesis technology where the speech rate cannot be altered after the model has been trained. The parameters for speech rate are accepted by the system but are ultimately ignored during the synthesis process. This means that even if the speech rate parameter is set to a specific value, the model will not change its natural speaking speed.
The issue arises from the fact that the server-side implementation does not pass the parameter to the synthesizer. The source material emphasizes the importance of understanding the training data used for the model, as many characteristics such as speech rate, intonation, emotional styles, and sentence structure are influenced by the training corpus.
It is suggested that these traits should be established during the training phase rather than being adjustable post-training. To address this issue, the source material outlines the creation of 14 different speech profiles or "conv_style" for various use cases. These profiles dictate the specific script sets and quality gate strictness for each application, ranging from polite to casual and even including extreme material in some contexts.
This approach ensures that the voice models are tailored to the intended use case, rather than attempting to modify parameters that are ultimately unchangeable after training.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
