o ui@s:ddlZddlZddlZddlZdZdZGdddZdS)Ni>c@s6eZdZdZddedfddZddZd d Zd S) SileroVADz: Voice Activity Detection (VAD) using Silero-VAD. F silero_vadcpuc szG|jdkr ddg}ndg}tjjd|ffdd }|tj_tjj|s&dnd|d d |s.d nd d \}}tj_||_|\}} } } } ||_WdSt yZ} zt d| d} ~ ww)a Initialize the VAD object. Args: local (bool, optional): Whether to load the model locally. Defaults to False. model (str, optional): The VAD model name to load. Defaults to "silero_vad". device (torch.device, optional): The device to run the model on. Defaults to 'cpu'. Returns: None Raises: RuntimeError: If loading the model fails. cudaCUDAExecutionProviderCPUExecutionProviderNcs||f||d|dS)N) sess_options providers)self path_or_bytesr r kwargs original_initr .patched_initzsnakers4/silero-vadzvad/silero-vadFTgithublocal) repo_or_dirmodel force_reloadonnxsourcezFailed to load VAD model: ) type onnxruntimeInferenceSession__init__torchhubload vad_modelget_speech_timestamps Exception RuntimeError) r rrdevicer rr!utilsr"_er rrrs,       zSileroVAD.__init__cs|dus t|tjtfstd|j||jd}fdd|Ds&gSddtddddDgfd d d tdfd dD}|S) aZ Segment speech from an audio segment and return a list of timestamps. Args: audio_segment (np.ndarray): The audio segment to be segmented. start_time (int): The start time of the audio segment in frames. end_time (int): The end time of the audio segment in frames. sampling_rate (int): The sampling rate of the audio segment. Returns: list: A list of timestamps, each containing the start and end times of speech segments in frames. Raises: ValueError: If the audio segment is invalid. NzInvalid audio segment) sampling_ratecs$g|]}|d|dfqS)startendr ).0ts) start_timer r ]sz,SileroVAD.segment_speech..cSs g|] \}}|d|dqSrr r,r*r+r r rr/dsr1cs||ks|d|ddkr||gdS||s%dS||t||}||}|||d|dS)Nr1rr)appendindexmax) start_index end_indexmax_interval_index split_index)adjusted_timestamps intervalsr)segmentssplit_timestampsr rr>ks     z2SileroVAD.segment_speech..split_timestampsrcs(g|]\}}|d|dgqSr0r r2)r;r rr/s) isinstancenpndarraylist ValueErrorr"r!ziplen)r audio_segmentr.end_timer)speech_timestampsmerged_timestampsr )r;r<r)r=r>r.rsegment_speechFs(  zSileroVAD.segment_speechc Cs@|d}|d}g}d}t}d}|D]\} } t| d} t| d} | |kr*q| }t| |} t| |}| d|vrE|| d| | tkra|t|d| | | dd|d 7}q|| |}t j ||t d }| |t| t t| t t D]\}}|t|d|t |t | dd|d 7}qq|S) a Process the audio based on the given speaker diarization dataframe. Args: speakerdia (pd.DataFrame): The diarization dataframe containing start, end, and speaker info. audio (dict): A dictionary containing the audio waveform and sample rate. Returns: list: A list of dictionaries containing processed audio segments with start, end, and speaker. sample_ratewaveformrr*r+speaker)r5r*r+rMr1)orig_sr target_sr) setiterrowsfloatintadd VAD_THRESHOLDr4strzfilllibrosaresample SAMPLING_RATErJ)r speakerdiaaudior) audio_dataoutlast_end speakers_seencount_idr5rowr*r+ start_frame end_frame temp_audiotemp_audio_resampledstart_frame_sub end_frame_subr r rvads\              z SileroVAD.vadN) __name__ __module__ __qualname____doc__rr%rrJrjr r r rrs / ?r)rYrnumpyr@rrVr[rr r r rs