https://github.com/bagustris/rnnet • Science 26%

Neural Network with R, based on #DataTrieste 2017

https://github.com/bagustris/r-tutorial • Science 59%

https://github.com/bagustris/bbj • Science 13%

Belajar Bahasa Jepang

https://github.com/bagustris/uci-ae-torch • Science 26%

Demo deteksi anomali dataset UCI dengan Pytorch

https://github.com/bagustris/sinemodel • Science 13%

Archive of DPWE Matlab Sinemodel

https://github.com/bagustris/compare2023 • Science 36%

For ComParE 2023 Challenge

https://github.com/bagustris/anomaly-detection • Science 13%

Repo to learn anomaly detection

https://github.com/bagustris/nkululeko_ensemble_speech_classficcation • Science 26%

https://github.com/bagustris/japanese-for-work • Science 13%

https://github.com/bagustris/speechain • Science 10%

Toolkit for ASR, TTS, and both

https://github.com/bagustris/msp-podcast_challenge_is2025 • Science 13%

MSP-Podcast Challenge Baseline Code for Interspeech 2025

https://github.com/bagustris/adapter-wavlm-ser • Science 10%

https://github.com/bagustris/audio • Science 10%

Data manipulation and transformation for audio signal processing, powered by PyTorch

https://github.com/bagustris/stoi-net • Science 10%

https://github.com/bagustris/speechcmdrecognition • Science 10%

A neural attention model for speech command recognition

https://github.com/bagustris/serab • Science 10%

SERAB: a multi-lingual benchmark for speech emotion recognition

https://github.com/bagustris/prognet_emorecog • Science 10%

A Pytorch implementation of 'Progressive Neural Networks for Transfer Learning in Emotion Recognition'

https://github.com/bagustris/nisqa • Science 10%

NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

https://github.com/bagustris/multimodal-speech-emotion • Science 23%

[IEEE SLT-18] Multimodal Speech Emotion Recognition using Audio and Text

https://github.com/bagustris/mhms_deeplearning • Science 10%