Default the English model's temperature to 0.3 (#223)

## Motivation

Human evaluations consistently prefer the English model at temperature
**0.3** over the current default **0.7**, and the change is free on
every objective axis we measured.

pocket_tts/config/english.yaml

@@ -2,6 +2,8 @@
 
 weights_path: hf://kyutai/pocket-tts/languages/english/model.safetensors@39592ff23c9ef80098bb74895d104c26275fe2c9
 weights_path_without_voice_cloning: hf://kyutai/pocket-tts-without-voice-cloning/languages/english/model.safetensors@d29db7978e464fb90cb3359ee0c69a273b9142cc
+# Human evals preferred this model at 0.3 (equal WER/similarity/speech rate).
+default_temperature: 0.3
 
 
 flow_lm:

pocket_tts/config/english_2026-04.yaml

@@ -2,6 +2,8 @@
 
 weights_path: hf://kyutai/pocket-tts/languages/english_2026-04/model.safetensors@19f95fe2df36e79fbd9f10008595cc4c977a0fcc
 weights_path_without_voice_cloning: hf://kyutai/pocket-tts-without-voice-cloning/languages/english_2026-04/model.safetensors@d29db7978e464fb90cb3359ee0c69a273b9142cc
+# Human evals preferred this model at 0.3 (equal WER/similarity/speech rate).
+default_temperature: 0.3
 
 
 flow_lm:

pocket_tts/main.py

@@ -20,7 +20,6 @@ from pocket_tts.default_parameters import (
     DEFAULT_FRAMES_AFTER_EOS,
     DEFAULT_LSD_DECODE_STEPS,
     DEFAULT_NOISE_CLAMP,
-    DEFAULT_TEMPERATURE,
     MAX_TOKEN_PER_CHUNK,
     get_default_text_for_language,
     get_default_voice_for_language,
@@ -261,8 +260,12 @@ def generate(
         int, typer.Option(help="Number of generation steps")
     ] = DEFAULT_LSD_DECODE_STEPS,
     temperature: Annotated[
-        float, typer.Option(help="Temperature for generation")
-    ] = DEFAULT_TEMPERATURE,
+        float | None,
+        typer.Option(
+            help="Temperature for generation. Defaults to the model's recommended "
+            "value from its config (0.3 for the English model, 0.7 otherwise)."
+        ),
+    ] = None,
     noise_clamp: Annotated[float, typer.Option(help="Noise clamp value")] = DEFAULT_NOISE_CLAMP,
     eos_threshold: Annotated[float, typer.Option(help="EOS threshold")] = DEFAULT_EOS_THRESHOLD,
     frames_after_eos: Annotated[

pocket_tts/models/tts_model.py

@@ -25,7 +25,6 @@ from pocket_tts.default_parameters import (
     DEFAULT_LANGUAGE,
     DEFAULT_LSD_DECODE_STEPS,
     DEFAULT_NOISE_CLAMP,
-    DEFAULT_TEMPERATURE,
     MAX_TOKEN_PER_CHUNK,
 )
 from pocket_tts.models.flow_lm import FlowLMModel
@@ -234,7 +233,7 @@ class TTSModel(nn.Module):
         cls,
         language: str | None = None,
         config: str | Path | None = None,
-        temp: float | int = DEFAULT_TEMPERATURE,
+        temp: float | int | None = None,
         lsd_decode_steps: int = DEFAULT_LSD_DECODE_STEPS,
         noise_clamp: float | int | None = DEFAULT_NOISE_CLAMP,
         eos_threshold: float = DEFAULT_EOS_THRESHOLD,
@@ -253,7 +252,9 @@ class TTSModel(nn.Module):
                 If neither `config` nor `language` is provided, defaults to `"english", which is the same model as 'english_2026-04'`.
             config: A path to a custom YAML config file saved locally (e.g., `"C://pocket_tts/pocket_tts_config.yaml"`).
             temp: Sampling temperature for generation. Higher values produce more
-                diverse but potentially lower quality output.
+                diverse but potentially lower quality output. If None, defaults to
+                the model's recommended value from its config file
+                (``default_temperature``, e.g. 0.3 for the English model).
             lsd_decode_steps: Number of steps for Lagrangian Self Distillation
                 decoding. More steps can improve quality but increase computation.
             noise_clamp: Maximum value for noise sampling. If None, no clamping
@@ -303,6 +304,8 @@ class TTSModel(nn.Module):
             raise ValueError("Config should be a path to a YAML file ending with .yaml")
         config_path = Path(config)
         config = load_config(config_path)
+        if temp is None:
+            temp = config.default_temperature
         logger.info(f"Loading model from config at {config_path}...")
 
         tts_model = TTSModel._from_pydantic_config_with_weights(

pocket_tts/utils/config.py

@@ -116,6 +116,7 @@ class Config(StrictModel):
     pad_with_spaces_for_short_inputs: bool = False
     remove_semicolons: bool = False
     model_recommended_frames_after_eos: int | None = None
+    default_temperature: float = 0.7
 
 
 def load_config(yaml_path: str | Path) -> Config: