Nighthawk/Qwen3-TTS-streaming
1
0
Fork 0
mirror of https://github.com/Nighthawk42/Qwen3-TTS-streaming.git synced 2026-08-30 08:52:27 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: guard fade-out against zero blend_samples to prevent full-array fade

Browse Source
This commit is contained in:
Kedara Studios
2026-02-08 18:43:41 +01:00
parent 7e616bbf9f
commit 74fd5823c5
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qwen_tts/core/models/modeling_qwen3_tts.py
+2 -2
View File
@@ -2912,7 +2912,7 @@ class Qwen3TTSForConditionalGeneration(Qwen3TTSPreTrainedModel, GenerationMixin)
wav = np.concatenate([head, wav[ov:]], axis=0)
# Apply fade-out at very end of audio to avoid pop on completion
if len(wav) > blend_samples:
if blend_samples > 0 and len(wav) > blend_samples:
fade_len = min(blend_samples, len(wav))
t = np.arange(fade_len, dtype=np.float32) / max(fade_len - 1, 1)
fade_out = 0.5 * (1 + np.cos(np.pi * t)) # Hann fade-out
@@ -3248,7 +3248,7 @@ class Qwen3TTSForConditionalGeneration(Qwen3TTSPreTrainedModel, GenerationMixin)
head = _crossfade(decoded_tails[b][-ov:], wav[:ov])
wav = np.concatenate([head, wav[ov:]], axis=0)
if len(wav) > blend_samples:
if blend_samples > 0 and len(wav) > blend_samples:
fade_len = min(blend_samples, len(wav))
t = np.arange(fade_len, dtype=np.float32) / max(fade_len - 1, 1)
fade_out = 0.5 * (1 + np.cos(np.pi * t))