o 9wi!@szddlmZmZmZmZmZddlZddlm Z m Z m Z ddl m Z ddlmZddlmZddlmZGdd d ZdS) )DictMappingOptionalTupleUnionN) Annotation SlidingWindowSlidingWindowFeature)Label)DiarizationErrorRate) Inference)Binarizec@seZdZdZe   d!deedeedeefddZe d"d ee e fd e d e d ee e e e eeffffd dZe d#dedede eefd efddZe  d$dededed e fddZededed efddZdd ZdS)%SpeakerDiarizationMixinzBDefines a bunch of methods common to speaker diarization pipelinesN num_speakers min_speakers max_speakerscCsR|p|pd}|p |p tj}||krtd|dd|dd||kr$|}|||fS)aValidate number of speakers Parameters ---------- num_speakers : int, optional Number of speakers. min_speakers : int, optional Minimum number of speakers. max_speakers : int, optional Maximum number of speakers. Returns ------- num_speakers : int or None min_speakers : int max_speakers : int or np.inf zQmin_speakers must be smaller than (or equal to) max_speakers (here: min_speakers=gz and max_speakers=z).)npinf ValueError)rrrrg/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/pyannote/audio/pipelines/utils/diarization.pyset_num_speakers&s  z(SpeakerDiarizationMixin.set_num_speakersF reference hypothesisreturn_mappingreturncCsZt|tr|d}d|vr|dnd}nd}tj|||d}|j|d}|r+||fS|S)aFind the optimal bijective mapping between reference and hypothesis labels Parameters ---------- reference : Annotation or Mapping Reference annotation. Can be an Annotation instance or a mapping with an "annotation" key. hypothesis : Annotation Hypothesized annotation. return_mapping : bool, optional Return the label mapping itself along with the mapped annotation. Defaults to False. Returns ------- mapped : Annotation Hypothesis mapped to reference speakers. mapping : dict, optional Mapping between hypothesis (key) and reference (value) labels Only returned if `return_mapping` is True. annotation annotatedN)uem)mapping) isinstancerr optimal_mapping rename_labels)rrrrr!mapped_hypothesisrrrr#Ls  z'SpeakerDiarizationMixin.optimal_mapping皙?r'binarized_segmentationsframeswarm_upcCsHtj||d}tjtj|ddd|dddd}t|jtj|_|S)aEstimate frame-level number of instantaneous speakers Parameters ---------- binarized_segmentations : SlidingWindowFeature (num_chunks, num_frames, num_classes)-shaped binarized scores. warm_up : (float, float) tuple, optional Left/right warm up ratio of chunk duration. Defaults to (0.1, 0.1), i.e. 10% on both sides. frames : SlidingWindow Frames resolution. Defaults to estimate it automatically based on `segmentations` shape and chunk size. Providing the exact frame resolution (when known) leads to better temporal precision. Returns ------- count : SlidingWindowFeature (num_frames, 1)-shaped instantaneous speaker count )r*T)axiskeepdimsFhammingmissing skip_average) r trim aggregatersumrintdataastypeuint8)r(r)r*trimmedcountrrr speaker_countysz%SpeakerDiarizationMixin.speaker_countr.discrete_diarizationmin_duration_onmin_duration_offcCs tdd||d}||jddS)a Parameters ---------- discrete_diarization : SlidingWindowFeature (num_frames, num_speakers)-shaped discrete diarization min_duration_on : float, optional Defaults to 0. min_duration_off : float, optional Defaults to 0. Returns ------- continuous_diarization : Annotation Continuous diarization, with speaker labels as integers, corresponding to the speaker indices in the discrete diarization. g?)onsetoffsetr>r?string) generator)r rename_tracks)r=r>r?binarizerrr to_annotationsz%SpeakerDiarizationMixin.to_annotation segmentationsr;c Cstj||jdddd}|jj\}}t|j}||kr)t|jdd||ff|_|j|j@}|j |dd}|j |dd}tj | dd }t |j}t t ||D]\} \\}} } t| D] } d || | | f<q`qRt||jS) aBuild diarization out of preprocessed segmentation and precomputed speaker count Parameters ---------- segmentations : SlidingWindowFeature (num_chunks, num_frames, num_speakers)-shaped segmentations count : SlidingWindow_feature (num_frames, 1)-shaped speaker count Returns ------- discrete_diarization : SlidingWindowFeature Discrete (0s and 1s) diarization. Fr.Tr/)rrr) return_datar+)r,g?)r r4sliding_windowr7shapermaxpadextentcropargsort zeros_like enumerateziprangeitemr ) rGr; activations_rmax_speakers_per_framerMsorted_speakersbinarytcspeakersirrrto_diarizations.    z&SpeakerDiarizationMixin.to_diarizationccs d} d|dV|d7}q)NrTSPEAKER_02drr)selfspeakerrrrclassess zSpeakerDiarizationMixin.classes)NNN)F)r&)r.r.)__name__ __module__ __qualname____doc__ staticmethodrintrrrrboolrrr r#r rfloatr<rFr^rcrrrrr#sp %  ,  %   1r)typingrrrrrnumpyr pyannote.corerrr pyannote.core.utils.typesr pyannote.metrics.diarizationr pyannote.audio.core.inferencer pyannote.audio.utils.signalr rrrrrs