From 629f42eeed920a27aed2e6c52b4b2bf65bd81874 Mon Sep 17 00:00:00 2001 From: mirivlad Date: Thu, 19 Mar 2026 00:42:09 +0800 Subject: [PATCH] =?UTF-8?q?Use=20Whisper=20base=20=D0=BC=D0=BE=D0=B4=D0=B5?= =?UTF-8?q?=D0=BB=D1=8C=20=D0=B4=D0=BB=D1=8F=20=D0=BB=D1=83=D1=87=D1=88?= =?UTF-8?q?=D0=B5=D0=B3=D0=BE=20=D0=BA=D0=B0=D1=87=D0=B5=D1=81=D1=82=D0=B2?= =?UTF-8?q?=D0=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - base модель лучше tiny по качеству распознавания - Потребление памяти ~200MB (вместо ~100MB у tiny) - Должна работать стабильно без OOM Co-authored-by: Qwen-Coder --- src/speech/speech.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/speech/speech.py b/src/speech/speech.py index 747028f..c59a875 100644 --- a/src/speech/speech.py +++ b/src/speech/speech.py @@ -48,8 +48,8 @@ class SpeechRecognizer: elif self.model_name == "whisper": from faster_whisper import WhisperModel - # tiny модель - минимальное потребление памяти (~100MB) - self.model = WhisperModel("tiny", device="cpu", compute_type="int8") + # base модель - компромисс качества и памяти (~200MB RAM) + self.model = WhisperModel("base", device="cpu", compute_type="int8") except Exception as e: logger.error(f"Ошибка загрузки модели распознавания: {e}")