This package contains Python code for the high-level aspects of decoding speech from neural data, including transfer learning across multiple subjects. It was used for all results in the paper "Machine translation of cortical activity to text with an encoder-decoder framework" (Makin et al.,Natur...
This tutorial examines how to detect underlying emotions in recorded speech samples by analyzing the acoustic features of the speech using a classification model of emotion elicited by audio based on deep neural networks, specifically convolutional neural networks (CNN). The proposed syste...
from python_speech_features.baseimport mfcc import pandas import sys AudioSegment.converter ='D:\\ffmpeg\\bin\\ffmpeg.exe' song = AudioSegment.from_file('D:/demo/xihuani.MP3',format='MP3') print(song)
You can then use the ``deepspeech`` binary to do speech-to-text on an audio file: For the Python bindings, it is highly recommended that you perform the installation within a Python 3.5 or later virtual environment. You can find more information about those in `this documentation <http:/...