o Si @sddlZddlZddlmZddlmZmZmZmZddl Z ddl m Z ddl m Z mZmZmZddlmZmZmZGdddZ dd ed eed efd dZ ddeee fd ed eed eeddffddZ dded ed eefddZ dde d ed eefddZdS)N)ThreadPoolExecutor) GeneratorListOptionalUnion)tqdm)CutSetMonoCut RecordingSetSupervisionSegment)fastcopyis_module_availableresumable_downloadc@s2eZdZdddZ dd d Zd d ZddZdS) ComputeScorereturnNcCs$ddl}|||_d|_d|_dS)Nr>gQ"@) onnxruntimeInferenceSession onnx_sess SAMPLING_RATE INPUT_LENGTH)selfprimary_model_pathortrK/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/workflows/dnsmos.py__init__s  zComputeScore.__init__x@rTc CsDddl}|jj|||d||d}|r|j|tjddd}|jS)Nr)ysrn_fft hop_lengthn_mels)ref()librosafeaturemelspectrogram power_to_dbnpmaxT) raudior% frame_sizer$r"to_dbr(mel_specrrr audio_melspecszComputeScore.audio_melspecc Cs||rtgd}tgd}tgd}ntgd}tgd}tgd}||}||} ||} || | fS)N)g~Z!ugBt?g?gBü)g/ g?,?g/z!?gX-*Ͽ)gPzg 7!BV?goj ſgDW?)g;YRg~?gz?)g w=gc9?g%Pzu?)ggFu?gCyXٿ)r,poly1d) rsigbakovris_personalized_mosp_ovrp_sigp_baksig_polybak_polyovr_polyrrrget_polyfit_val!s zComputeScore.get_polyfit_valcCsL|j}||}t|j|}t||kr#t||}t||ksttt|||jd}|}g}g} g} t |D]U} |t| |t| |j|} t| |krYq?t |  dtj ddf} d| i}|j d|dd\}}}|||||\}}}||| || |q?|t| t|t| dfS)Nr float32input_1r)OVRLSIGBAK)rresample load_audiointrlenr,appendfloorrangearrayastypenewaxisrrunr?mean)rmanifestr8fsr/ len_samplesnum_hopshop_len_samplespredicted_mos_sig_segpredicted_mos_bak_segpredicted_mos_ovr_segidx audio_seginput_featuresoi mos_sig_raw mos_bak_raw mos_ovr_rawmos_sigmos_bakmos_ovrrrr__call__1sB          zComputeScore.__call__)rN)rrrrT)__name__ __module__ __qualname__rr3r?rcrrrrr s    rFr8 download_rootrcCs:|dur|nd}|r dnd}tj|d}t||d|S)Nz/tmpz`https://github.com/microsoft/DNS-Challenge/raw/refs/heads/master/DNSMOS/pDNSMOS/sig_bak_ovr.onnxz_https://github.com/microsoft/DNS-Challenge/raw/refs/heads/master/DNSMOS/DNSMOS/sig_bak_ovr.onnxzsig_bak_ovr.onnx)filename)ospathjoinr)r8rgurlrhrrrdownload_modelXs rmrQccsjtds JdtdsJdt|tr!t|||EdHdSt|tr1t|||EdHdStd)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 :param manifest: a ``RecordingSet`` or ``CutSet`` object. :param is_personalized_mos: flag to indicate if personalized MOS score is needed or regular. :param download_root: if specified, the model will be downloaded to this directory. Otherwise, it will be downloaded to /tmp. :return: a generator of cuts (use ``CutSet.open_writer()`` to write them). r(z[This function expects librosa to be installed. You can install it via 'pip install librosa'rzcThis function expects onnxruntime to be installed. You can install it via 'pip install onnxruntime'Nz;The ``manifest`` must be either a RecordingSet or a CutSet.)r isinstancer _annotate_recordingsr_annotate_cuts ValueError)rQr8rgrrrannotate_dnsmosgs(    rr recordingsc cst||}t|}t]}g}t|ddD] }|jdkr,td|jd|jdq|| |||qt|ddD]$}| \}} t |j|jd|j d } t |jd|j d|| g| d } | Vq=Wd d S1smwYd S) z[ Helper function that annotates a RecordingSet with DNSMOS P.835 prediction model. Distributing tasksdescr zSkipping recording ' '. It has 4 channels, but we currently only support mono input. Processingr)id recording_idstartduration)rzr|r}channel recording supervisionscustomN)rmrrr num_channelsloggingwarningrzrIsubmitresultr r}r ) rsr8rgr compute_scoreexfuturesrfuturer supervisioncutrrrros@    "rocutsc cst||}t|}tS}g}t|ddD] }|jdkr,td|jd|jdq|| |||qt|ddD]}| \}} |j durQ|j | n| |_ |Vq=WddS1scwYdS) zU Helper function that annotates a CutSet with DNSMOS P.835 prediction model. rtrur zSkipping cut 'rwrxryN) rmrrrrrrrzrIrrrupdate) rr8rgrrrrrrrrrrrps(    "rp)FN)rriconcurrent.futures.threadrtypingrrrrnumpyr,rlhotserr r r lhotse.utilsr r rrboolstrrmrrrorprrrrs^  L    - ,