From ab122d5652856bafe719fe0c0f6784a9fdd5ba66 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期五, 05 一月 2024 16:11:04 +0800
Subject: [PATCH] update code
---
funasr/models/monotonic_aligner/model.py | 21 +++++++--------------
1 files changed, 7 insertions(+), 14 deletions(-)
diff --git a/funasr/models/monotonic_aligner/model.py b/funasr/models/monotonic_aligner/model.py
index c0ac136..62899f2 100644
--- a/funasr/models/monotonic_aligner/model.py
+++ b/funasr/models/monotonic_aligner/model.py
@@ -4,18 +4,15 @@
from torch.cuda.amp import autocast
from typing import Union, Dict, List, Tuple, Optional
-from funasr.models.paraformer.cif_predictor import mae_loss
-from funasr.models.transformer.utils.add_sos_eos import add_sos_eos
-from funasr.models.transformer.utils.nets_utils import make_pad_mask, pad_list
-from funasr.metrics.compute_acc import th_accuracy
-from funasr.train_utils.device_funcs import force_gatherable
-from funasr.utils.timestamp_tools import ts_prediction_lfr6_standard
+from funasr.register import tables
from funasr.utils import postprocess_utils
from funasr.utils.datadir_writer import DatadirWriter
-from funasr.register import tables
-from funasr.models.ctc.ctc import CTC
+from funasr.models.paraformer.cif_predictor import mae_loss
+from funasr.train_utils.device_funcs import force_gatherable
+from funasr.models.transformer.utils.add_sos_eos import add_sos_eos
+from funasr.models.transformer.utils.nets_utils import make_pad_mask
+from funasr.utils.timestamp_tools import ts_prediction_lfr6_standard
from funasr.utils.load_utils import load_audio_and_text_image_video, extract_fbank, load_audio_and_text_image_video
-
@tables.register("model_classes", "monotonicaligner")
@@ -25,7 +22,6 @@
Achieving timestamp prediction while recognizing with non-autoregressive end-to-end ASR model
https://arxiv.org/abs/2301.12343
"""
-
def __init__(
self,
input_size: int = 80,
@@ -41,7 +37,6 @@
length_normalized_loss: bool = False,
**kwargs,
):
-
super().__init__()
if specaug is not None:
@@ -155,7 +150,6 @@
frontend=None,
**kwargs,
):
-
meta_data = {}
# extract fbank feats
time1 = time.perf_counter()
@@ -190,8 +184,7 @@
timestamp_str, timestamp = ts_prediction_lfr6_standard(us_alpha[:encoder_out_lens[i] * 3],
us_peak[:encoder_out_lens[i] * 3],
copy.copy(token))
- text_postprocessed, time_stamp_postprocessed, word_lists = postprocess_utils.sentence_postprocess(
- token, timestamp)
+ text_postprocessed, time_stamp_postprocessed, _ = postprocess_utils.sentence_postprocess(token, timestamp)
result_i = {"key": key[i], "text": text_postprocessed,
"timestamp": time_stamp_postprocessed,
}
--
Gitblit v1.9.1