From fce4e1d1b48f23cd8332e60afce3df8d6209a6a7 Mon Sep 17 00:00:00 2001
From: gaochangfeng <54253717+gaochangfeng@users.noreply.github.com>
Date: 星期四, 11 四月 2024 14:59:22 +0800
Subject: [PATCH] SenseVoice对富文本解码的参数 (#1608)
---
funasr/models/sense_voice/whisper_lib/audio.py | 6 +++---
1 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/funasr/models/sense_voice/whisper_lib/audio.py b/funasr/models/sense_voice/whisper_lib/audio.py
index cf6c66a..52da32c 100644
--- a/funasr/models/sense_voice/whisper_lib/audio.py
+++ b/funasr/models/sense_voice/whisper_lib/audio.py
@@ -89,7 +89,7 @@
@lru_cache(maxsize=None)
-def mel_filters(device, n_mels: int) -> torch.Tensor:
+def mel_filters(device, n_mels: int, filters_path: str=None) -> torch.Tensor:
"""
load the mel filterbank matrix for projecting STFT into a Mel spectrogram.
Allows decoupling librosa dependency; saved using:
@@ -101,8 +101,8 @@
)
"""
assert n_mels in {80, 128}, f"Unsupported n_mels: {n_mels}"
-
- filters_path = os.path.join(os.path.dirname(__file__), "assets", "mel_filters.npz")
+ if filters_path is None:
+ filters_path = os.path.join(os.path.dirname(__file__), "assets", "mel_filters.npz")
with np.load(filters_path, allow_pickle=False) as f:
return torch.from_numpy(f[f"mel_{n_mels}"]).to(device)
--
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