Search Results for "python bass"

MuseGAN is a deep learning research project designed to generate symbolic music using generative adversarial networks. The system focuses specifically on generating multi-track polyphonic music, meaning that it can simultaneously produce multiple instrument parts such as drums, bass, piano, guitar, and strings. Instead of generating raw audio, the model operates on piano-roll representations of music, which encode notes as time-pitch matrices for each instrument track. This representation...

You can choose scale, chords and chords in scale and view all tonality in one view. For practice routine, Guitar / Bass , choose number of strings installation = require : 1)python : https://www.python.org/downloads/ 2)go to https://bootstrap.pypa.io/get-pip.py ( save this file in a directory ) and use "py get-pip.py" to install pip ( nota : pip is installed on C:\Users<name>\AppData\Local\Programs\Python\Python313\Scripts ) 3)Pyside6 : on a prompt use : pip install PySide6 you can change : num_columns = 3 # define numbers of columns from 2 to 6 num_frets = 12 # define numbers of frets from 12 to 24

vocal-separate is a simple but effective audio processing application that isolates vocals and instrumental tracks from music and video files using stem-based source separation models, enabling tasks such as karaoke creation, remixing, and music analysis. Built as a localized web-based tool, it runs entirely on the user’s machine without requiring an internet connection, emphasizing privacy and convenience for creative work. Users can drag and drop an audio or video file onto the interface...

Demucs (Deep Extractor for Music Sources) is a deep-learning framework for music source separation—extracting individual instrument or vocal tracks from a mixed audio file. The system is based on a U-Net-like convolutional architecture combined with recurrent and transformer elements to capture both short-term and long-term temporal structure. It processes raw waveforms directly rather than spectrograms, allowing for higher-quality reconstruction and fewer artifacts in separated tracks. The...

Music Source Separation is a PyTorch-based open-source implementation for the task of separating a music (or audio) recording into its constituent sources — for example isolating vocals, instruments, bass, accompaniment, or background from a mixed track. It aims to give users the ability to take any existing song and decompose it into separate stems (vocals, accompaniment, etc.), or to train custom separation models on their own datasets (e.g. for speech enhancement, instrument isolation, or...

Spleeter is the Deezer source separation library with pretrained models written in Python and using Tensorflow. It makes it easy to train music source separation models (assuming you have a dataset of isolated sources), and provides already trained state of the art models for performing various flavours of separation. 2 stems and 4 stems models have state of the art performances on the musdb dataset. Spleeter is also very fast as it can perform separation of audio files to 4 stems 100x...

ctypes Python module for BASS (http://un4seen.com) audio library. Android version (http://www.techshinobi.com/index.php/pybass-bass-audio-api-on-android-trials)

BassTuner is a simple software writen in Python & Qt to help you tune your Bass instrument.

The Ride Guitar Tab Editor offers an easy way to create ascii guitar, bass and drum tabs.

Scale & Chord Generator gives a visual display of chords and scales in any key on a musical staff, keyboard, guitar fretboard and bass guitar fretboard. Each note of the chosen chord or scale is displayed along with a related chord or scale to be played