From 1596f6f414f6f41da66506debb1dff19fffeb3ec Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 24 六月 2024 11:55:17 +0800
Subject: [PATCH] fixbug hotwords
---
funasr/datasets/sense_voice_datasets/datasets.py | 45 +++++++++++++++++++++++++++++++--------------
1 files changed, 31 insertions(+), 14 deletions(-)
diff --git a/funasr/datasets/sense_voice_datasets/datasets.py b/funasr/datasets/sense_voice_datasets/datasets.py
index 1d269dd..d4e14f2 100644
--- a/funasr/datasets/sense_voice_datasets/datasets.py
+++ b/funasr/datasets/sense_voice_datasets/datasets.py
@@ -1,8 +1,9 @@
import logging
+import re
import torch
import random
-
+import traceback
from funasr.register import tables
from funasr.utils.load_utils import extract_fbank, load_audio_text_image_video
@@ -53,6 +54,12 @@
self.prompt_ids_len = 0
self.retry = kwargs.get("retry", 5)
+ self.permute = False
+ from funasr.frontends.whisper_frontend import WhisperFrontend
+
+ if isinstance(self.frontend, WhisperFrontend):
+ self.permute = True
+
def get_source_len(self, index):
item = self.index_ds[index]
return self.index_ds.get_source_len(item)
@@ -65,23 +72,23 @@
return len(self.index_ds)
def __getitem__(self, index):
- # import pdb;
- # pdb.set_trace()
output = None
for idx in range(self.retry):
if idx == 0:
index_cur = index
else:
- if index <= self.retry:
- index_cur = index + idx
- else:
- index_cur = torch.randint(0, index, ()).item()
+ index_cur = torch.randint(0, len(self.index_ds), ()).item()
item = self.index_ds[index_cur]
source = item["source"]
- data_src = load_audio_text_image_video(source, fs=self.fs)
+ try:
+ data_src = load_audio_text_image_video(source, fs=self.fs)
+ except Exception as e:
+ logging.error(f"Loading wav failed! {str(e)}, {traceback.format_exc()}")
+ continue
+
if self.preprocessor_speech:
data_src = self.preprocessor_speech(data_src, fs=self.fs)
speech, speech_lengths = extract_fbank(
@@ -90,7 +97,8 @@
if speech_lengths > self.batch_size:
continue
- speech = speech.permute(0, 2, 1)
+ if self.permute:
+ speech = speech.permute(0, 2, 1)
target = item["target"]
if self.preprocessor_text:
target = self.preprocessor_text(target)
@@ -98,8 +106,14 @@
task = item.get("prompt", "<|ASR|>")
text_language = item.get("text_language", "<|zh|>")
- prompt = f"{self.sos}{task}{text_language}"
- prompt_ids = self.tokenizer.encode(prompt, allowed_special="all")
+ if isinstance(self.sos, str):
+ prompt = f"{self.sos}{task}{text_language}"
+ prompt_ids = self.tokenizer.encode(prompt, allowed_special="all")
+ else:
+ prompt = f"{task}{text_language}"
+ prompt_ids = self.tokenizer.encode(prompt, allowed_special="all")
+ prompt_ids = [self.sos] + prompt_ids
+
prompt_ids_len = len(prompt_ids) - 1 # [sos, task]
self.prompt_ids_len = prompt_ids_len
@@ -108,9 +122,12 @@
if target_ids_len > 200:
continue
- eos = self.tokenizer.encode(self.eos, allowed_special="all") # [eos]
+ if isinstance(self.eos, str):
+ eos = self.tokenizer.encode(self.eos, allowed_special="all") # [eos]
+ else:
+ eos = [self.eos]
- ids = prompt_ids + target_ids + eos
+ ids = prompt_ids + target_ids + eos # [sos, task, lid, text, eos]
ids_lengths = len(ids)
text = torch.tensor(ids, dtype=torch.int64)
@@ -186,7 +203,7 @@
)
if self.batch_type != "example":
- for i in range(3):
+ for i in range(10):
outputs = self._filter_badcase(outputs, i=i)
return outputs
--
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