From e9d2cfc3a134b00f4e98271fbee3838d1ccecbcc Mon Sep 17 00:00:00 2001
From: VirtuosoQ <2416050435@qq.com>
Date: 星期五, 26 四月 2024 14:59:30 +0800
Subject: [PATCH] FunASR java http client
---
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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