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update timestamp_onnx

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This commit is contained in:
shixian.shi 2023-03-02 20:09:41 +08:00
parent 36dc43e047
commit a757387b72
3 changed files with 12 additions and 8 deletions
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2
funasr/runtime/python/onnxruntime/demo.py
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@ -2,7 +2,7 @@
from rapid_paraformer import Paraformer
model_dir = "/Users/shixian/code/funasr2/export/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model_dir = "/Users/shixian/code/funasr2/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
# model_dir = "/Users/shixian/code/funasr2/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1)

11
funasr/runtime/python/onnxruntime/rapid_paraformer/paraformer_onnx.py
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@ -41,17 +41,16 @@ class Paraformer():
)
self.ort_infer = OrtInferSession(model_file, device_id)
self.batch_size = batch_size
self.plot = True
def __call__(self, wav_content: Union[str, np.ndarray, List[str]], **kwargs) -> List:
waveform_list = self.load_data(wav_content, self.frontend.opts.frame_opts.samp_freq)
waveform_nums = len(waveform_list)
asr_res = []
for beg_idx in range(0, waveform_nums, self.batch_size):
res = {}
end_idx = min(waveform_nums, beg_idx + self.batch_size)
feats, feats_len = self.extract_feat(waveform_list[beg_idx:end_idx])
try:
outputs = self.infer(feats, feats_len)
am_scores, valid_token_lens = outputs[0], outputs[1]
@ -68,11 +67,17 @@ class Paraformer():
preds, raw_token = self.decode(am_scores, valid_token_lens)[0]
res['preds'] = preds
if us_cif_peak is not None:
timestamp = time_stamp_lfr6_onnx(us_cif_peak, copy.copy(raw_token))
timestamp, timestamp_total = time_stamp_lfr6_onnx(us_cif_peak, copy.copy(raw_token))
res['timestamp'] = timestamp
if self.plot:
self.plot_wave_timestamp(waveform_list[0], timestamp_total)
asr_res.append(res)
return asr_res
def plot_wave_timestamp(self, wav, text_timestamp):
# TODO: Plot the wav and timestamp results with matplotlib
import pdb; pdb.set_trace()
def load_data(self,
wav_content: Union[str, np.ndarray, List[str]], fs: int = None) -> List:
def load_wav(path: str) -> np.ndarray:

7
funasr/runtime/python/onnxruntime/rapid_paraformer/utils/timestamp_utils.py
View File

@ -9,7 +9,6 @@ def time_stamp_lfr6_onnx(us_cif_peak, char_list, begin_time=0.0):
TIME_RATE = 10.0 * 6 / 1000 / 3 # 3 times upsampled
cif_peak = us_cif_peak.reshape(-1)
num_frames = cif_peak.shape[-1]
import pdb; pdb.set_trace()
if char_list[-1] == '</s>':
char_list = char_list[:-1]
# char_list = [i for i in text]
@ -49,11 +48,11 @@ def time_stamp_lfr6_onnx(us_cif_peak, char_list, begin_time=0.0):
timestamp_list[i][0] = timestamp_list[i][0] + begin_time / 1000.0
timestamp_list[i][1] = timestamp_list[i][1] + begin_time / 1000.0
assert len(new_char_list) == len(timestamp_list)
res_txt = ""
res_total = []
for char, timestamp in zip(new_char_list, timestamp_list):
res_txt += "{} {} {};".format(char, timestamp[0], timestamp[1])
res_total.append([char, timestamp[0], timestamp[1]]) # += "{} {} {};".format(char, timestamp[0], timestamp[1])
res = []
for char, timestamp in zip(new_char_list, timestamp_list):
if char != '<sil>':
res.append([int(timestamp[0] * 1000), int(timestamp[1] * 1000)])
return res
return res, res_total