yanxin1999

yanxin1999's Stars

• Kazuhito00/mediapipe-python-sample

  MediaPipeのPythonパッケージのサンプルです。2024/9/1時点でPython実装のある15機能について用意しています。

  Language:Python29885

• declare-lab/MISA

  MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

  Language:Python19932

• a-n-rose/Build-CNN-or-LSTM-or-CNNLSTM-with-speech-features

  A set of scripts that extract speech features (so far MFCCs, FBANKs, STFT, and kinda dominant frequency) and trains CNN, LSTM, or CNN+LSTM models with those features.

  Language:Python5015

• linksense/ConvolutionaNeuralNetworksToEnhanceCodedSpeech

  In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.

  Language:Python2812

• FlorianRhiem/pyGLFW

  Python bindings for GLFW

  Language:Python23336

• totex/Learn-OpenGL-in-python

  All the source codes from my youtube tutorial series called "OpenGL in python".

  Language:Python15968