"The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English." PloS one 13.5.
Speech timer estimator professional#
Mysore, "Can we automatically transform speech recorded on common consumer devices in real-world environments into professional production quality speech?-a dataset, insights, and challenges." IEEE Signal Processing Letters 22.8. MacDonald, "CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit (version 0.92)," 2019. Synthesis through linear prediction," InternationalĬonference on Acoustics, Speech and Signal Processing (ICASSP). Skoglund, "LPCNet: Improving neural speech Pardo, "Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet," Submitted to Interspeech 2021, August 2021. Gather files for constant-ratio objective Pitch-Shifting and Time-Stretching with Controllable LPCNet},Īuthor=, The files containing the desired pitch contours The file containing the original periodicities source_periodicity_files SOURCE_PERIODICITY_FILES The file containing the original pitch contours target_alignment_files TARGET_ALIGNMENT_FILES source_alignment_files SOURCE_ALIGNMENT_FILES h, -help show this help message and exit Perform pitch-shifting and time-stretching with a pretrained model. verbose : bool Whether to display a progress bar """ CLI clpcnet target_pitch : np.array(shape=(1 + int(samples / hopsize))) or None The desired pitch contour constant_shift : float or None A constant value for pitch-shifting checkpoint_file : Path The model weight file gpu : int or None The gpu to run inference on. source_periodicity : np.array(shape=(1 + int(samples / hopsize))) or None The original periodicity. constant_stretch : float or None A constant value for time-stretching source_pitch : np.array(shape=(1 + int(samples / hopsize))) or None The original pitch contour. target_alignment : pypar.Alignment or None The target alignment. """Pitch-shift and time-stretch audio and save to disk Arguments output_file : Path The file to save the generated audio audio : np.array(shape=(samples,)) The audio to regenerate sample_rate : int The audio sampling rate source_alignment : pypar.Alignment or None The original alignment. verbose : bool Whether to display a progress bar Returns vocoded : np.array(shape=(samples * clpcnet.SAMPLE_RATE / sample_rate,)) The generated audio at 16 kHz """ om_features
"""Pitch-shift and time-stretch speech audio Arguments audio : np.array(shape=(samples,)) The audio to regenerate sample_rate : int The audio sampling rate source_alignment : pypar.Alignment or None The original alignment. HTK must be downloaded to within this directory in order to be considered part of Which is used for forced phoneme alignment. In order to perform variable-ratio time-stretching, you must first
Table of contentsĭocker installation assumes recent versions of Docker and NVidia Docker are
Speech timer estimator code#
Use this code in an academic publication, please cite our paper. Performs pitch-shifting and time-stretching of Official repository for the paper "Neural Pitch-Shifting and Time-Stretching
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