o SiyR/@sddlZddlmZddlmZddlmZddlmZddl Z ddl m Z ddl m Z m Z mZddlmZdd lmZdd lmZdd lmZmZed d Zee jde jddde jdde jdddddde jdde jddddde jdde jdddddde jdd d!d"d#e jd$d%d&d'd#e jd(d)d*d+e jd,d-d.d/d#e jd0d1d2d3d#e jd4dd5d#ded6eed7eed8eed9ed:ed;eedefd?d@Z ee jdAe jddddde jde jddde jd$dBdCdDd#e jd,d-d.d/d#e jdEddFd#e jd0dGd2dHd#e jdIddJd# 2 ddAededKedrr@r%rAr-rBalign_with_torchaudio_cutsr<r=rrrrC{s& 8    "rCz--method independentconversationalzThe simulation method to use: independent - each speaker is simulated independently, conversational - the speakers are simulated as a group, using overall silence/overlap statistics.)rrrz--locgzVThe minimum silence duration between two consecutive utterances from the same speaker.)rrr show_defaultz--scaleg@zThe scale parameter of the exponential distribution used to sample the silence duration between two consecutive utterances from a speaker.z--same-spk-pauseg?z>The mean pause duration between utterances of the same speakerz--diff-spk-pausez@The mean pause duration between utterances of different speakersz--diff-spk-overlapzBThe mean overlap duration between utterances of different speakersz--prob-diff-spk-overlapg?zCThe probability of overlap between utterances of different speakersz--fit-to-supervisionsz-f)rrzDPath to a supervision set to learn the distributions for simulation.z --reverberate/--dont-reverberatez5If True, the simulated meetings will be reverberated.z--rir-recordingsz--rira Path to a recording set containing RIRs. If provided, the simulated meetings will be reverberated using the RIRs from this set. A directory containing recording sets can also be provided, in which case each meeting will use a recording set sampled from this directory.z--num-meetingszNNumber of meetings to simulate. Either this of `num_repeats` must be provided.z --num-repeatszNumber of times to repeat each input cut. The resulting cuts will be used as a finite set of utterances to use for simulation. Either this of `num_meetings` must be provided.z--num-speakers-per-meetingz-s2zNumber of speakers per meeting. One or more integers can be provided (comma-separated). In this case, the number of speakers will be sampled uniformly from the provided list, or using the distribution provided in `speaker-count-probs`.)clsrrz--speaker-count-probsz-pzA list of probabilities for each speaker count. The length of the list must be equal to the number of elements in `num-speakers-per-meeting`.z--max-duration-per-speakerg4@z2Maximum duration of a single speaker in a meeting.z--max-utterances-per-speakerz-uz6Maximum number of utterances per speaker in a meeting.z(--allow-3fold-overlap/--no-3fold-overlapzIf True, the simulated meetings will allow more than 2 speakers to overlap. This is only relevant for the `conversational` method.z--seediz Random seed for reproducibility.methodlocscalesame_spk_pausediff_spk_pausediff_spk_overlapprob_diff_spk_overlapfit_to_supervisions reverberaterir_recordingsc Ks|dkrddlm} | ||d}| dn|dkr)ddlm}|||||d}ntd || d urCtd t| td }||t|}td |j |fi| }| rtd| r|| rht| t d g}n dd| dD}|j |g|R}n| |}td||d S)aK Simulate meeting-style mixtures using a provided CutSet containing single-channel cuts. Different simulation techniques can be selected using the `--method` option. Currently, the following methods are supported: - independent: each speaker is simulated independently, using the provided cuts as a finite set of utterances. - conversational: the speakers are simulated as a group, using overall silence/overlap statistics. The number of speakers per meeting is sampled uniformly from the range provided in `--num-speakers-per-meeting`. The number of meetings to simulate is controlled by either `--num-meetings` or `--num-repeats`. If the former is provided, the same number of meetings will be simulated. If the latter is provided, the provided cuts will be repeated `num_repeats` times, and the resulting cuts will be used as a finite set of utterances to use for simulation. The simulated meetings can be optionally reverberated using the RIRs from a provided recording set. If no RIRs are provided, we will use a fast random approximation technique to simulate the reverberation. The RIRs can be provided as a single recording set, or as a directory containing multiple recording sets. In the latter case, the RIRs will be sampled from the provided directory. rHr)"SpeakerIndependentMeetingSimulator)rOrPallow_3fold_overlaprI)ConversationalMeetingSimulator)rQrRrSrTz#Unknown meeting simulation method: Nz=Fitting the meeting simulator to the provided supervisions...) manifest_clszSimulating meetings...z'Reverberating the simulated meetings...cSsg|]}t|qSrr ).0prrr sz%simulate_meetings..z *.jsonl.gzz Saving the simulated meetings...)#lhotse.workflows.meeting_simulationrXpoprZ ValueErrorprintr r fitsimulateis_filerglobrVto_file)r>rrNrOrPrQrRrSrTrUrVrWkwargsrX simulatorrZsupsrG mixed_cutsrirsrrrsimulate_meetingssT>      rmz-oz--output-supervisions-manifestzOPath to the output supervisions manifest or a directory where it will be saved.zsilero-vad-16kz8One of activity detector: silero_vad_16k, silero_vad_8k.z--force_downloadz+Forced cache clearing and model downloading)is_flagroutput_supervisions_manifestforce_downloadcCsddl}ddlm}m}|d||d} | |} | dur/td|dt| t t | } | r?| sLtdt| t |durS| jnt | } | rt | j} d D]}| |rv| dt| } qf| d |d 7} | | } | j std t| t td t|dtt|}|rtd| ntd| dtd|dt| |d}t||ddd}td|dtt||}td|d|t| tdt| dddS)a Use activity detection methods (e.g., Silero VAD) to detect and annotate the segmentation of Lhotse RecordingSets and save the results in the SupervisionSet manifest. The output manifest will be saved in the path specified by OUTPUT_SUPERVISIONS_MANIFEST. If OUTPUT_SUPERVISIONS_MANIFEST is not provided, the output manifest will be saved in the same directory as RECORDINGS_MANIFEST. Note: this is an experimental feature and it does not guarantee high-quality performance and data annotation. rN) SileroVAD8k SileroVAD16kignore) silero_vad_8ksilero_vad_16kzUnknown activity detector: z. Supported detectors: zRecordings manifest not found: )z.gzz.jsonlz.jsonz.yaml_supervisions_z .jsonl.gzz5Parent directory for output manifest does not exist: zLoading recordings from z...z"Removing model state from cache...z Checking model state in cache...rz(Making activity detection processor for )r%Tz Running VAD)init_fnr-rD descriptionz!Running activity detection using zSaving z results ...zResults saved to: )sep)warnings#lhotse.workflows.activity_detectionrqrrfilterwarningsgetrblistsysexitr expanduserabsoluterrestrparentis_dirnameendswithr8rr4rprr r from_segmentsr from_iterablerg)rror#r%r&rpr{rqrr detectors detector_kls recs_path sups_pathrext recordingsdetector_init_fn processor supervisionsrrractivity_detectionsn8        rz--is-personalized-mosz@Flag to indicate if personalized MOS score is needed or regular.is_personalized_mosc Csddlm}t|||sJd|durt|}n|dur*tj|d||d}nt|}t| } t |||dt |dd D] } | j | d d qDWddS1sYwYdS) a Use Microsoft DNSMOS P.835 prediction model to annotate either RECORDINGS_MANIFEST, RECORDINGS_DIR, or CUTS_MANIFEST. It will predict DNSMOS P.835 score including SIG, NAK, and OVRL. See the original repo for more details: https://github.com/microsoft/DNS-Challenge/tree/master/DNSMOS RECORDINGS_MANIFEST, RECORDINGS_DIR, and CUTS_MANIFEST are mutually exclusive. If CUTS_MANIFEST is provided, its supervisions will be overwritten with the results of the inference. r)annotate_dnsmosr)Nr*r+)rz-Annotating with DNSMOS P.835 prediction modelr.Tr1) r3rrrr4r5rr6r7rr8r9) rrr r!r"rr&annotate_dnsmos_r;r<r=rrrr>s. 3    "r)rT)'r functoolsr itertoolsrpathlibrtypingrclickrr3rrr lhotse.bin.modes.cli_baser lhotse.parallelr lhotse.serializationr lhotse.utilsrrgrouprcommandargumentoptionrintboolr(rCChoicefloatrmrrrrrrs            5 -           6b\