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ai-midtermexam

audio-feature-extraction_sally

In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC.

audio-slicer_sally

Python script that slices audio with silence detection

audio_generation_sally

This repository main point is to implement Generative Adversarial Networks (GANs) and Style Transfer Methods that can create new audio samples based on other samples.

audiosignalprocessingforml_sally

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

audioslicer_sally

Audio Slicer that uses silence detection to split .wav audio files into several .wav samples.

github-for-practice

github-for-practice-ai

keras_sgan_ser_sally

This is a project of speech emotion recognition using KERAS based Semi-Generative Adversarial Networks.

librosa_sally

Python library for audio and music analysis

multimodal-speech-emotion-recognition_sally

Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)

multimodal-speech-emotion_sally

TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18

noisereduce_sally

Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)

opensmile_sall

The Munich Open-Source Large-Scale Multimedia Feature Extractor

pyaudioanalysis_sally

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

python-sound-tool_sally

SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.

sentiment-analysis-for-tweets-with-emoticon

NPL program to analyze the sentiment polarity of the tweet & emoji posts

speech-emotion-analysis_sally

Human emotions are one of the strongest ways of communication.

speech-emotion-analyzer-sally

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

speech-emotion-recognition_sally

Detecting emotions from speech signals using a CNN model. Signal processing and feature extraction were done using Librosa.

speech_emotion_recognition_sally

Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.

thinkdsp_sc

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

thinkpython_s

Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.

transformer-cnn-emotion-recognition_sally

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between