load_audio_text_image_video

游雁

2024-01-05 4f98546f3693482f8f34aa5f11ced31381c58724

 funasr/bin/inference.py

@@ -17,7 +17,7 @@
import string
from funasr.register import tables

from funasr.utils.load_utils import load_audio_and_text_image_video, extract_fbank
from funasr.utils.load_utils import load_audio_text_image_video, extract_fbank
from funasr.utils.vad_utils import slice_padding_audio_samples
from funasr.utils.timestamp_tools import time_stamp_sentence

@@ -278,7 +278,7 @@
         key = res[i]["key"]
         vadsegments = res[i]["value"]
         input_i = data_list[i]
         speech = load_audio_and_text_image_video(input_i, fs=kwargs["frontend"].fs, audio_fs=kwargs.get("fs", 16000))
         speech = load_audio_text_image_video(input_i, fs=kwargs["frontend"].fs, audio_fs=kwargs.get("fs", 16000))
         speech_lengths = len(speech)
         n = len(vadsegments)
         data_with_index = [(vadsegments[i], i) for i in range(n)]
@@ -417,7 +417,7 @@

         # extract fbank feats
         time1 = time.perf_counter()
         audio_sample_list = load_audio_and_text_image_video(data_batch, fs=self.frontend.fs, audio_fs=kwargs.get("fs", 16000))
         audio_sample_list = load_audio_text_image_video(data_batch, fs=self.frontend.fs, audio_fs=kwargs.get("fs", 16000))
         time2 = time.perf_counter()
         meta_data["load_data"] = f"{time2 - time1:0.3f}"
         speech, speech_lengths = extract_fbank(audio_sample_list, data_type=kwargs.get("data_type", "sound"),