o fR @sbddlZddlZddlmZddlmZejdfddZ dddZ ej dd fd d Z dd d Z dS)N) get_windowc Cs|dur|}|||d}tj||d}t||dd} tj| |dd} t| |} t|D]!} | |} || t|| || dtdt||| 7<q/|S) az # from librosa 0.6 Compute the sum-square envelope of a window function at a given hop length. This is used to estimate modulation effects induced by windowing observations in short-time fourier transforms. Parameters ---------- window : string, tuple, number, callable, or list-like Window specification, as in `get_window` n_frames : int > 0 The number of analysis frames hop_length : int > 0 The number of samples to advance between frames win_length : [optional] The length of the window function. By default, this matches `n_fft`. n_fft : int > 0 The length of each analysis frame. dtype : np.dtype The data type of the output Returns ------- wss : np.ndarray, shape=`(n_fft + hop_length * (n_frames - 1))` The sum-squared envelope of the window function N)dtypeT)fftbins)normr) npzerosr librosa_util normalize pad_centerrangeminmax) windown_frames hop_length win_lengthn_fftrrnxwin_sqisampler=/Users/hung/Desktop/tango2/audioldm/audio/audio_processing.pywindow_sumsquares)  8rcCsttdtjtjj|}|tj}t j t |}| ||d}t|D]}||\}}| ||d}q/|S)z PARAMS ------ magnitudes: spectrogram magnitudes stft_fn: STFT class with transform (STFT) and inverse (ISTFT) methods y@r)rangleexppirandomrandsizeastypefloat32torchautogradVariable from_numpyinversesqueezer transform) magnitudesstft_fnn_itersanglessignalr_rrr griffin_limBs&  r3rgh㈵>cCs|tj||d|S)z5 PARAMS ------ C: compression factor )r)r&clamp)r normalize_funCZclip_valrrrdynamic_range_compressionUsr7cCst||S)zF PARAMS ------ C: compression factor used to compress )r&r)rr6rrrdynamic_range_decompression^sr8)r)r)r&numpyr librosa.utilutilr scipy.signalrr%rr3logr7r8rrrrs    ;