o %ݫi^@sbdZddlZddlmmZddlZddlmZddl m Z ddl m Z m Z GdddeZdS)aO Specifies the inference interfaces for speech separation modules. Authors: * Aku Rouhe 2021 * Peter Plantinga 2021 * Loren Lugosch 2020 * Mirco Ravanelli 2020 * Titouan Parcollet 2021 * Abdel Heba 2021 * Andreas Nautsch 2022, 2023 * Pooneh Mousavi 2023 * Sylvain de Langen 2023 * Adel Moumen 2023 * Pradnya Kandarkar 2023 N) Pretrained) split_path) LocalStrategyfetchc@s2eZdZdZgdZddZd ddZdd ZdS) SepformerSeparationaA "ready-to-use" speech separation model. Uses Sepformer architecture. Example ------- >>> tmpdir = getfixture("tmpdir") >>> model = SepformerSeparation.from_hparams( ... source="speechbrain/sepformer-wsj02mix", ... savedir=tmpdir) >>> mix = torch.randn(1, 400) >>> est_sources = model.separate_batch(mix) >>> print(est_sources.shape) torch.Size([1, 400, 2]) )encodermasknetdecodercs|j}j|}j|}t|gjj}||tj fddt jjDdd}| d}| d}||krOt |ddd||f}|S|ddd|ddf}|S)zRun source separation on batch of audio. Arguments --------- mix : torch.Tensor The mixture of sources. Returns ------- tensor Separated sources cs"g|] }j|dqS))modsr unsqueeze).0iselfsep_hT/home/ubuntu/.local/lib/python3.10/site-packages/speechbrain/inference/separation.py Dsz6SepformerSeparation.separate_batch..r )dimrN)todevicer rrtorchstackhparamsnum_spkscatrangesizeFpad)rmixmix_west_mask est_sourceT_originT_estrrrseparate_batch-s$      z"SepformerSeparation.separate_batchNc Cst|\}}t|||tjd}t|\}}||j}|jj }||krCt d ||tj j ||d|j}|jddd}||}||} | | jdddd} | S)aSeparate sources from file. Arguments --------- path : str Path to file which has a mixture of sources. It can be a local path, a web url, or a huggingface repo. savedir : path Path where to store the wav signals (when downloaded from the web). Returns ------- tensor Separated sources )sourcesavedirlocal_strategyz(Resampling the audio from {} Hz to {} Hz) orig_freqnew_freqrT)rkeepdimr)rrrSYMLINK torchaudioloadrrr sample_rateprintformat transformsResamplemeanr(absmax) rpathr*r)flbatchfs_filefs_modeltf est_sourcesrrr separate_fileTs6   z!SepformerSeparation.separate_filecCs ||S)z Runs separation on the input mix)r()rr"rrrforwards zSepformerSeparation.forward)N)__name__ __module__ __qualname____doc__MODULES_NEEDEDr(rArBrrrrrs  ' .r)rFrtorch.nn.functionalnn functionalr r0 speechbrain.inference.interfacesrspeechbrain.utils.data_utilsrspeechbrain.utils.fetchingrrrrrrrs