Pinned Repositories
Acoustic-Features
audio/speech feature extraction using parselmouth, librosa, disvoice
Audio-Feature-Extraction
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-Features
Features from audio: Spectrogram, (Wavelet Transform) Scalogram, (Q Transform) Spectrogram
Audio-Processing
Audio-Signal-Processing-and-Feature-Extraction
Feature extraction from audio signal (explained in Persian)
Audio-Speech-classification-models
Neural models for audio/speech classification tasks
Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
AwesomeKorean_Speech
음성인식과 신호처리
Complex_networks
Contain some activations, dropout, BN, LN, Linear, Conv, ConvTranspose, LSTM(LN)
rimiyeyo's Repositories
rimiyeyo/Acoustic-Features
audio/speech feature extraction using parselmouth, librosa, disvoice
rimiyeyo/Audio-Feature-Extraction
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.
rimiyeyo/Audio-Features
Features from audio: Spectrogram, (Wavelet Transform) Scalogram, (Q Transform) Spectrogram
rimiyeyo/Audio-Processing
rimiyeyo/Audio-Signal-Processing-and-Feature-Extraction
Feature extraction from audio signal (explained in Persian)
rimiyeyo/Audio-Speech-classification-models
Neural models for audio/speech classification tasks
rimiyeyo/Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
rimiyeyo/awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
rimiyeyo/AwesomeKorean_Speech
음성인식과 신호처리
rimiyeyo/Complex_networks
Contain some activations, dropout, BN, LN, Linear, Conv, ConvTranspose, LSTM(LN)
rimiyeyo/Coursera-Deep-Learning
My notes / works on deep learning from Coursera
rimiyeyo/CSE-Summary
컴퓨터 공학에서 다루는 전공 지식들의 요약집 📖
rimiyeyo/END-TO-END-SPEECH-ENHANCEMENT-BASED-ON-DISCRETE-COSINE-TRANSFORM
rimiyeyo/hreeeeMarina.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
rimiyeyo/labmlai_annotated_deeplearning_paper_implementation
KOREAN Translation of labmlai/annotated_deep_learning_paper_implementations
rimiyeyo/lassl
Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets
rimiyeyo/Lung-Sounds-Classification-using-ICBHI-Data
Classify 4-class and 2-class(abnormal vs normal) lung sounds
rimiyeyo/momodeep_pytorch
momodeep season2 pytorch tutorial
rimiyeyo/nlp-with-pytorch
<파이토치로 배우는 자연어 처리>(한빛미디어, 2021)의 소스 코드를 위한 저장소입니다.
rimiyeyo/note
rimiyeyo/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
rimiyeyo/scikit-llm
Seamlessly integrate LLMs into scikit-learn.
rimiyeyo/speech-recognition-examples
Simple Guide How To Build Your Own End-To-End Automatic Speech Recognition System Written In PyTorch
rimiyeyo/wavenet