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/utils/timestamp_tools.py | 228 +++++++++++++++++++++++++++++++++++++++++---------------
1 files changed, 165 insertions(+), 63 deletions(-)
diff --git a/funasr/utils/timestamp_tools.py b/funasr/utils/timestamp_tools.py
index 232137d..6abebe1 100644
--- a/funasr/utils/timestamp_tools.py
+++ b/funasr/utils/timestamp_tools.py
@@ -3,6 +3,7 @@
import logging
import argparse
import numpy as np
+
# import edit_distance
from itertools import zip_longest
@@ -18,37 +19,39 @@
integrate += alpha
list_fires.append(integrate)
fire_place = integrate >= threshold
- integrate = torch.where(fire_place,
- integrate - torch.ones([batch_size], device=alphas.device)*threshold,
- integrate)
+ integrate = torch.where(
+ fire_place,
+ integrate - torch.ones([batch_size], device=alphas.device) * threshold,
+ integrate,
+ )
fires = torch.stack(list_fires, 1)
return fires
-def ts_prediction_lfr6_standard(us_alphas,
- us_peaks,
- char_list,
- vad_offset=0.0,
- force_time_shift=-1.5,
- sil_in_str=True
- ):
+def ts_prediction_lfr6_standard(
+ us_alphas, us_peaks, char_list, vad_offset=0.0, force_time_shift=-1.5, sil_in_str=True, upsample_rate=3,
+):
if not len(char_list):
return "", []
START_END_THRESHOLD = 5
- MAX_TOKEN_DURATION = 12
- TIME_RATE = 10.0 * 6 / 1000 / 3 # 3 times upsampled
+ MAX_TOKEN_DURATION = 12 # 3 times upsampled
+ TIME_RATE=10.0 * 6 / 1000 / upsample_rate
if len(us_alphas.shape) == 2:
alphas, peaks = us_alphas[0], us_peaks[0] # support inference batch_size=1 only
else:
alphas, peaks = us_alphas, us_peaks
- if char_list[-1] == '</s>':
+ if char_list[-1] == "</s>":
char_list = char_list[:-1]
- fire_place = torch.where(peaks>=1.0-1e-4)[0].cpu().numpy() + force_time_shift # total offset
+ fire_place = (
+ torch.where(peaks >= 1.0 - 1e-4)[0].cpu().numpy() + force_time_shift
+ ) # total offset
if len(fire_place) != len(char_list) + 1:
- alphas /= (alphas.sum() / (len(char_list) + 1))
+ alphas /= alphas.sum() / (len(char_list) + 1)
alphas = alphas.unsqueeze(0)
- peaks = cif_wo_hidden(alphas, threshold=1.0-1e-4)[0]
- fire_place = torch.where(peaks>=1.0-1e-4)[0].cpu().numpy() + force_time_shift # total offset
+ peaks = cif_wo_hidden(alphas, threshold=1.0 - 1e-4)[0]
+ fire_place = (
+ torch.where(peaks >= 1.0 - 1e-4)[0].cpu().numpy() + force_time_shift
+ ) # total offset
num_frames = peaks.shape[0]
timestamp_list = []
new_char_list = []
@@ -59,47 +62,52 @@
# begin silence
if fire_place[0] > START_END_THRESHOLD:
# char_list.insert(0, '<sil>')
- timestamp_list.append([0.0, fire_place[0]*TIME_RATE])
- new_char_list.append('<sil>')
+ timestamp_list.append([0.0, fire_place[0] * TIME_RATE])
+ new_char_list.append("<sil>")
# tokens timestamp
- for i in range(len(fire_place)-1):
+ for i in range(len(fire_place) - 1):
new_char_list.append(char_list[i])
- if MAX_TOKEN_DURATION < 0 or fire_place[i+1] - fire_place[i] <= MAX_TOKEN_DURATION:
- timestamp_list.append([fire_place[i]*TIME_RATE, fire_place[i+1]*TIME_RATE])
+ if MAX_TOKEN_DURATION < 0 or fire_place[i + 1] - fire_place[i] <= MAX_TOKEN_DURATION:
+ timestamp_list.append([fire_place[i] * TIME_RATE, fire_place[i + 1] * TIME_RATE])
else:
# cut the duration to token and sil of the 0-weight frames last long
_split = fire_place[i] + MAX_TOKEN_DURATION
- timestamp_list.append([fire_place[i]*TIME_RATE, _split*TIME_RATE])
- timestamp_list.append([_split*TIME_RATE, fire_place[i+1]*TIME_RATE])
- new_char_list.append('<sil>')
+ timestamp_list.append([fire_place[i] * TIME_RATE, _split * TIME_RATE])
+ timestamp_list.append([_split * TIME_RATE, fire_place[i + 1] * TIME_RATE])
+ new_char_list.append("<sil>")
# tail token and end silence
# new_char_list.append(char_list[-1])
if num_frames - fire_place[-1] > START_END_THRESHOLD:
_end = (num_frames + fire_place[-1]) * 0.5
- # _end = fire_place[-1]
- timestamp_list[-1][1] = _end*TIME_RATE
- timestamp_list.append([_end*TIME_RATE, num_frames*TIME_RATE])
+ # _end = fire_place[-1]
+ timestamp_list[-1][1] = _end * TIME_RATE
+ timestamp_list.append([_end * TIME_RATE, num_frames * TIME_RATE])
new_char_list.append("<sil>")
else:
- timestamp_list[-1][1] = num_frames*TIME_RATE
+ timestamp_list[-1][1] = num_frames * TIME_RATE
if vad_offset: # add offset time in model with vad
for i in range(len(timestamp_list)):
timestamp_list[i][0] = timestamp_list[i][0] + vad_offset / 1000.0
timestamp_list[i][1] = timestamp_list[i][1] + vad_offset / 1000.0
res_txt = ""
for char, timestamp in zip(new_char_list, timestamp_list):
- #if char != '<sil>':
- if not sil_in_str and char == '<sil>': continue
- res_txt += "{} {} {};".format(char, str(timestamp[0]+0.0005)[:5], str(timestamp[1]+0.0005)[:5])
+ # if char != '<sil>':
+ if not sil_in_str and char == "<sil>":
+ continue
+ res_txt += "{} {} {};".format(
+ char, str(timestamp[0] + 0.0005)[:5], str(timestamp[1] + 0.0005)[:5]
+ )
res = []
for char, timestamp in zip(new_char_list, timestamp_list):
- if char != '<sil>':
+ if char != "<sil>":
res.append([int(timestamp[0] * 1000), int(timestamp[1] * 1000)])
return res_txt, res
-def timestamp_sentence(punc_id_list, timestamp_postprocessed, text_postprocessed, return_raw_text=False):
- punc_list = ['锛�', '銆�', '锛�', '銆�']
+def timestamp_sentence(
+ punc_id_list, timestamp_postprocessed, text_postprocessed, return_raw_text=False
+):
+ punc_list = ["锛�", "銆�", "锛�", "銆�"]
res = []
if text_postprocessed is None:
return res
@@ -111,12 +119,14 @@
return res
if punc_id_list is None or len(punc_id_list) == 0:
- res.append({
- 'text': text_postprocessed.split(),
- "start": timestamp_postprocessed[0][0],
- "end": timestamp_postprocessed[-1][1],
- "timestamp": timestamp_postprocessed,
- })
+ res.append(
+ {
+ "text": text_postprocessed.split(),
+ "start": timestamp_postprocessed[0][0],
+ "end": timestamp_postprocessed[-1][1],
+ "timestamp": timestamp_postprocessed,
+ }
+ )
return res
if len(punc_id_list) != len(timestamp_postprocessed):
logging.warning("length mismatch between punc and timestamp")
@@ -126,45 +136,137 @@
sentence_start = timestamp_postprocessed[0][0]
sentence_end = timestamp_postprocessed[0][1]
texts = text_postprocessed.split()
- punc_stamp_text_list = list(zip_longest(punc_id_list, timestamp_postprocessed, texts, fillvalue=None))
+ punc_stamp_text_list = list(
+ zip_longest(punc_id_list, timestamp_postprocessed, texts, fillvalue=None)
+ )
for punc_stamp_text in punc_stamp_text_list:
punc_id, timestamp, text = punc_stamp_text
# sentence_text += text if text is not None else ''
if text is not None:
- if 'a' <= text[0] <= 'z' or 'A' <= text[0] <= 'Z':
- sentence_text += ' ' + text
- elif len(sentence_text) and ('a' <= sentence_text[-1] <= 'z' or 'A' <= sentence_text[-1] <= 'Z'):
- sentence_text += ' ' + text
+ if "a" <= text[0] <= "z" or "A" <= text[0] <= "Z":
+ sentence_text += " " + text
+ elif len(sentence_text) and (
+ "a" <= sentence_text[-1] <= "z" or "A" <= sentence_text[-1] <= "Z"
+ ):
+ sentence_text += " " + text
else:
sentence_text += text
- sentence_text_seg += text + ' '
+ sentence_text_seg += text + " "
ts_list.append(timestamp)
punc_id = int(punc_id) if punc_id is not None else 1
sentence_end = timestamp[1] if timestamp is not None else sentence_end
- sentence_text_seg = sentence_text_seg[:-1] if sentence_text_seg[-1] == ' ' else sentence_text_seg
+ sentence_text_seg = (
+ sentence_text_seg[:-1] if sentence_text_seg[-1] == " " else sentence_text_seg
+ )
if punc_id > 1:
sentence_text += punc_list[punc_id - 2]
if return_raw_text:
- res.append({
- 'text': sentence_text,
- "start": sentence_start,
- "end": sentence_end,
- "timestamp": ts_list,
- 'raw_text': sentence_text_seg,
- })
+ res.append(
+ {
+ "text": sentence_text,
+ "start": sentence_start,
+ "end": sentence_end,
+ "timestamp": ts_list,
+ "raw_text": sentence_text_seg,
+ }
+ )
else:
- res.append({
- 'text': sentence_text,
- "start": sentence_start,
- "end": sentence_end,
- "timestamp": ts_list,
- })
- sentence_text = ''
- sentence_text_seg = ''
+ res.append(
+ {
+ "text": sentence_text,
+ "start": sentence_start,
+ "end": sentence_end,
+ "timestamp": ts_list,
+ }
+ )
+ sentence_text = ""
+ sentence_text_seg = ""
ts_list = []
sentence_start = sentence_end
return res
+def timestamp_sentence_en(
+ punc_id_list, timestamp_postprocessed, text_postprocessed, return_raw_text=False
+):
+ punc_list = [",", ".", "?", ","]
+ res = []
+ if text_postprocessed is None:
+ return res
+ if timestamp_postprocessed is None:
+ return res
+ if len(timestamp_postprocessed) == 0:
+ return res
+ if len(text_postprocessed) == 0:
+ return res
+ if punc_id_list is None or len(punc_id_list) == 0:
+ res.append(
+ {
+ "text": text_postprocessed.split(),
+ "start": timestamp_postprocessed[0][0],
+ "end": timestamp_postprocessed[-1][1],
+ "timestamp": timestamp_postprocessed,
+ }
+ )
+ return res
+ if len(punc_id_list) != len(timestamp_postprocessed):
+ logging.warning("length mismatch between punc and timestamp")
+ sentence_text = ""
+ sentence_text_seg = ""
+ ts_list = []
+ sentence_start = timestamp_postprocessed[0][0]
+ sentence_end = timestamp_postprocessed[0][1]
+ texts = text_postprocessed.split()
+ punc_stamp_text_list = list(
+ zip_longest(punc_id_list, timestamp_postprocessed, texts, fillvalue=None)
+ )
+ for punc_stamp_text in punc_stamp_text_list:
+ punc_id, timestamp, text = punc_stamp_text
+ # sentence_text += text if text is not None else ''
+ if text is not None:
+ if "a" <= text[0] <= "z" or "A" <= text[0] <= "Z":
+ sentence_text += " " + text
+ elif len(sentence_text) and (
+ "a" <= sentence_text[-1] <= "z" or "A" <= sentence_text[-1] <= "Z"
+ ):
+ sentence_text += " " + text
+ else:
+ sentence_text += text
+ sentence_text_seg += text + " "
+ ts_list.append(timestamp)
+
+ punc_id = int(punc_id) if punc_id is not None else 1
+ sentence_end = timestamp[1] if timestamp is not None else sentence_end
+ sentence_text = sentence_text[1:] if sentence_text[0] == ' ' else sentence_text
+
+ if punc_id > 1:
+ sentence_text += punc_list[punc_id - 2]
+ sentence_text_seg = (
+ sentence_text_seg[:-1] if sentence_text_seg[-1] == " " else sentence_text_seg
+ )
+ if return_raw_text:
+ res.append(
+ {
+ "text": sentence_text,
+ "start": sentence_start,
+ "end": sentence_end,
+ "timestamp": ts_list,
+ "raw_text": sentence_text_seg,
+ }
+ )
+ else:
+ res.append(
+ {
+ "text": sentence_text,
+ "start": sentence_start,
+ "end": sentence_end,
+ "timestamp": ts_list,
+ }
+ )
+ sentence_text = ""
+ sentence_text_seg = ""
+ ts_list = []
+ sentence_start = sentence_end
+ return res
\ No newline at end of file
--
Gitblit v1.9.1