Configurable speech generation engine
csm-mlx enables programmable control of speech style by opening up key sampling parameters. The temperature parameter (temp) regulates the stochasticity of the speech, with values ranging from 0.1 to 1.0: lower values (0.3) produce a stable and conservative announcer's cadence, while higher values (0.8) generate emotional improvisation. The minimum probability parameter (min_p) controls the candidate word screening threshold, effectively avoiding the generation of incoherent jumps.
In practice, the developer can make_sampler function to combine these parameters: educational applications recommended configuration temp = 0.4/min_p = 0.05 to ensure accuracy, entertainment scenarios apply temp = 0.7/min_p = 0.2 to enhance the performance. The system also provides max_audio_length_ms (500-10000 milliseconds) to limit the generation time to avoid memory overflow. Tests showed that proper adjustment of the parameters improved speech naturalness (MOS score) from 3.2 to 4.1 (on a 5-point scale).
This answer comes from the articlecsm-mlx: csm speech generation model for Apple devicesThe
