From 112c8e6eb7c7b5dd150787848a5c1d6111688ed7 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 10 四月 2024 09:55:21 +0800
Subject: [PATCH] 修复无法预测nospeech标签的问题 (#1604)
---
funasr/models/sense_voice/whisper_lib/decoding.py | 8 +++++---
1 files changed, 5 insertions(+), 3 deletions(-)
diff --git a/funasr/models/sense_voice/whisper_lib/decoding.py b/funasr/models/sense_voice/whisper_lib/decoding.py
index caca114..b3fce7e 100644
--- a/funasr/models/sense_voice/whisper_lib/decoding.py
+++ b/funasr/models/sense_voice/whisper_lib/decoding.py
@@ -58,18 +58,20 @@
# x = torch.tensor([[tokenizer.sot]] * n_audio).to(mel.device) # [n_audio, 1]
if x is None:
x = torch.tensor([tokenizer.encode(initial_prompt, allowed_special="all")] * n_audio).to(mel.device) # [n_audio, 1]
- logits = model.logits(x, mel)[:, 0]
-
+ logits = model.logits(x[:,:-1], mel)[:, -1]
# collect detected languages; suppress all non-language tokens
mask = torch.ones(logits.shape[-1], dtype=torch.bool)
mask[list(tokenizer.all_language_tokens)] = False
+ mask[tokenizer.no_speech] = False
+
logits[:, mask] = -np.inf
language_tokens = logits.argmax(dim=-1)
language_token_probs = logits.softmax(dim=-1).cpu()
+
language_probs = [
{
c: language_token_probs[i, j].item()
- for j, c in zip(tokenizer.all_language_tokens, tokenizer.all_language_codes)
+ for j, c in zip(list(tokenizer.all_language_tokens) + [tokenizer.no_speech], list(tokenizer.all_language_codes) + ["nospeech"])
}
for i in range(n_audio)
]
--
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