Noppakorn Kaewsalabnil's starred repositories
pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
OpenGLInsightsCode
Source code for OpenGL Insights
Multimodal-Toolkit
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
go-template
go/template is a tool for jumpstarting production-ready Golang projects quickly.
WasabiDataset
Repo for the Wasabi datasets
MusicGenreClassifiaction
Content-based Music Genre Classification
NLP-Genre-Classification-based-on-Raw-lyrics
Majority of the commercial music platforms rely heavily on deep learning and natural language processing for the purpose of finding similarities between songs, classification of songs, new lyric generation, informational retrieval, gaining meaningful insights or efficiently analyze music. My main focus was to use raw lyrics data and classify them as one of the 5 genres (Hip-Hop, Rock, Pop, Country and Jazz). For this purpose, architecture such as Machine learning classifiers, Deep Neural Networks, LSTM and Bi-Directional Transformers were investigated. Various Data preprocessing and network optimization techniques were utilised and While, It was observed that keras BERT model and LSTM produced similar results, BERT worked the best than the rest.
FromBabiesTo
☕ Draw image animation with theme "From Babies To ..."
Music-Genre-Classification-with-Audio-Features
Supervised learning using the audio features of songs to determine their genre.
music-genre-classification
🎶 Music Genre Classification with Lyrics and Audio Features
music-genre-classification
Comparison of contextual (BERT) and uncontextual (GloVe and Word2Vec) word embeddings in the task of music genre classification from lyrics.
lyrics-to-genre
Lyrics to Genre Classification Model Github Page. Check huggingface for try the model!