Search Results for "music ear training"
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Showing 53 open source projects for "music ear training"
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tksolfege ear training program
Music ear training exercises
Tksolfege is an ear training program for learning to recognize chords, intervals, perform rhythm dictation, solfege dictation and singing solfege sequences. As you will discover, it is not an easy program to install and setup on your computer. You will also require to install the tcl/tk interpreter, fluidsynth, and at least one soundfont file. On Windows 11, you may also need to configure the operating system to show the file extension and the hidden directories. -
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ACE-Step 1.5
The most powerful local music generation model
ACE-Step 1.5 is an advanced open-source foundation model for AI-driven music generation that pushes beyond traditional limitations in speed, musical coherence, and controllability by innovating in architecture and training design. It integrates cutting-edge generative techniques—such as diffusion-based synthesis combined with compressed autoencoders and lightweight transformer elements—to produce high-quality full-length music tracks with rapid inference times, capable of generating a complete song in seconds on modern GPUs while remaining efficient enough to run on consumer-grade hardware with minimal memory requirements. ... -
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HeartMuLa
A Family of Open Sourced Music Foundation Models
HeartMuLa is the open-source library and reference implementation for the HeartMuLa family of music foundation models, designed to support both music generation and music-related understanding tasks in a cohesive stack. At the center is HeartMuLa, a music language model that generates music conditioned on inputs like lyrics and tags, with multilingual support that broadens the range of lyric-driven use cases. The project also includes HeartCodec, a music codec optimized for high reconstruction fidelity, enabling efficient tokenization and reconstruction workflows that are critical for training and generation pipelines. ... -
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audioFlux
A library for audio and music analysis, feature extraction
...It can be provided to deep learning networks for training and is used to study various tasks in the audio field such as Classification, Separation, Music Information Retrieval(MIR) ASR, etc. -
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AudioCraft
Audiocraft is a library for audio processing and generation
AudioCraft is a PyTorch library for text-to-audio and text-to-music generation, packaging research models and tooling for training and inference. It includes MusicGen for music generation conditioned on text (and optionally melody) and AudioGen for text-conditioned sound effects and environmental audio. Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. ... -
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Amphion
Toolkit for audio, music, and speech generation
Amphion is a toolkit from OpenMMLab dedicated to audio, music, and speech generation, aimed at both reproducible research and helping newcomers get started in generative audio. It provides standardized implementations and recipes for classic and state-of-the-art generative models in audio, including TTS, music generation, and voice conversion. A distinctive feature of Amphion is its emphasis on visualization: it offers interactive visualizations of model architectures and generation processes, making it easier to understand how complex generative audio models work. ... -
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Qwen-Audio
Chat & pretrained large audio language model proposed by Alibaba Cloud
Qwen-Audio is a large audio-language model developed by Alibaba Cloud, built to accept various types of audio input (speech, natural sounds, music, singing) along with text input, and output text. There is also an instruction-tuned version called Qwen-Audio-Chat which supports conversational interaction (multi-round), audio + text input, creative tasks and reasoning over audio. It uses multi-task training over many different audio tasks (30+), and achieves strong multi-benchmarks performance without task-specific fine‐tuning. ... -
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Audiogen Codec
48khz stereo neural audio codec for general audio
AGC (Audiogen Codec) is a convolutional autoencoder based on the DAC architecture, which holds SOTA. We found that training with EMA and adding a perceptual loss term with CLAP features improved performance. These codecs, being low compression, outperform Meta's EnCodec and DAC on general audio as validated from internal blind ELO games. We trained (relatively) very low compression codecs in the pursuit of solving a core issue regarding general music and audio generation, low acoustic quality, and audible artifacts, which hinder industry use for these models. ... -
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WavTokenizer
SOTA discrete acoustic codec models with 40/75 tokens per second
WavTokenizer is a state-of-the-art discrete acoustic codec designed specifically for audio language modeling, capable of compressing 24 kHz audio into just 40 or 75 tokens per second while preserving high perceptual quality. It is built to represent speech, music, and general audio with extremely low bitrate, making it ideal as a front-end for large audio language models like GPT-4o and similar architectures. The model uses a single-quantizer design together with temporal compression to... -
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BikeControl
Do virtual gear shifting (and more) in any rider app
...This allows you to perform actions like virtual gear shifting, steering, changing workout intensity, controlling music, etc., even if the trainer app doesn’t natively support those controllers. It works on different platforms: on Android, it uses the AccessibilityService API to send simulated touches to whatever app window is active; on desktop (Windows/macOS), it can emulate key/mouse input via configurable keymaps so users can tailor controls. -
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EarQuiz Frequencies
Software for technical ear training on equalization
EarQuiz Frequencies is a software for ear training on equalization. Its goal is to help musicians, audio professionals, hobbyists and students learn how to hear frequency bands. Available for Windows 10, 11 (x64), macOS 11 or higher (both for Intel and Apple Silicon) and Linux. This application is based on (and deeply inspired by) the world-renowned Golden Ears method of David Moulton, whose course is half dedicated to building this essential critical listening skill. ... -
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DiffRhythm
Di♪♪Rhythm: Blazingly Fast & Simple End-to-End Song Generation
DiffRhythm is an open-source, diffusion-based model designed to generate full-length songs. Focused on music creation, it combines advanced AI techniques to produce coherent and creative audio compositions. The model utilizes a latent diffusion architecture, making it capable of producing high-quality, long-form music. It can be accessed on Huggingface, where users can interact with a demo or download the model for further use. DiffRhythm offers tools for both training and inference, and its flexibility makes it ideal for AI-based music production and research in music generation. -
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Youtube Downloader & Splitter - Ad-free
Another training development
Warning please update yt-dlp module manully!!!! This application development started in mid 2020. Easy to use and one of the fastest method to get youtube music videos to mp3 Please use it fairly and use it legal way Qt6.6 based for Linux dotnet (8) +Avalonia UI for Linux develops still in progress. -
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byzorgan
Specialized sound synthesizer with Byzantine Church music scales
This software integrates a small, specialized synthesizer and vocal processor. It can be used to learn Byzantine Church singing. You can play from the keyboard, mouse or touch screen. MIDI input is also available. Voice functions include: pitch highlighting, synthesizer control by voice, pitch correction and voice-to-ison conversion. On the screen there are labels with symbols of Byzantine notes. There is a metronome. The program is oriented on the Chrysanthos tuning of the diatonic scale:... -
15
Demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
...The repository includes pretrained models for common tasks such as isolating vocals, drums, bass, and accompaniment from stereo music, achieving state-of-the-art results in benchmarks like MUSDB18. Demucs supports GPU-accelerated inference and can process multi-channel audio with chunked streaming for real-time or batch operation. It also provides training scripts and utilities to fine-tune on custom datasets, along with remixing and enhancement tools. -
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Introducing AudioEqualize: Elevate Your Audio Experience! AudioEqualize isn't just your average volume adjustment tool; it's a sophisticated audio wizard that goes beyond simple peak amplitude normalization. Designed to enhance your music library, AudioEqualize meticulously analyzes and precisely tunes your MP3 files to a target volume of your choice. Here's why it's the ultimate choice for audio enthusiasts:
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Bend My Ear
Easy Training for The Hearing Impaired
Bend My Ear is a copy of the sentences module from the PC version Angel Sound. angelsound.tigerspeech.com Angel has created all it's other Apps on Iphone and Ipad. I decided to transfer the Sentences Module to run on the Android Operating System. I have added 3 background sounds and the ability to use the original sound recordings or use the sound provided by the default voice on the Phone. The idea is to provide the ability to do some Rehab whenever You have a spare moment and your... -
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audioFlux
A library for audio and music analysis, feature extraction.
audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations. It can be provided to deep learning networks for training, and is used to study various tasks in the audio field such as Classification, Separation, Music Information Retrieval(MIR) and ASR etc. -
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DiffSinger
Singing Voice Synthesis via Shallow Diffusion Mechanism
...The core idea is to view generation of a sung voice (mel-spectrogram) as a diffusion process: starting from noise, the model iteratively “denoises” while being conditioned on a music score (lyrics, pitch, musical timing). This avoids some of the typical problems of prior SVS models — like over-smoothing or unstable GAN training — and produces more realistic, expressive, and natural-sounding singing. The method introduces a “shallow diffusion” mechanism: instead of diffusing over many steps, generation begins at a shallow step determined adaptively, which leverages prior knowledge learned by a simple mel-spectrogram decoder and speeds up inference. -
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3D Learn to Read Music Game in Python
3D Learn to Read Music Game in Python
The game runs on win 7 after its run in win XP compatiability mode (so right click on game to select the SP3). This game to help beginners learn to read sheet music in a fun and easy way. More specifically this game is to learn sheet music restricted to the treble staff and (optionally) their ear training for the treble staff. This Panda3D game project is composed of 7 sub-programs in the project-one program is to deal with the menu, another is the main game code, another program deals with the extra graphics, another is the code for the readme dialog box. ... -
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Music Source Separation
Separate audio recordings into individual sources
...The repository provides training scripts (e.g. using datasets such as MUSDB18), preprocessing steps (audio-to-HDF5 packing, indexing), evaluation pipelines, and inference scripts to perform separation on arbitrary audio files. This makes the project useful both for researchers in music information retrieval / audio machine learning and for hobbyists or practitioners who want to experiment with remixing, karaoke, or audio editing. -
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GiantMIDI-Piano
Classical piano MIDI dataset
GiantMIDI-Piano is a large-scale symbolic classical piano music dataset built by applying the piano_transcription system on a vast collection of piano performance recordings. The dataset contains thousands of piano works, spanning a large number of composers and styles, with each piece transcribed into high-precision MIDI files capturing note events, pedal usage, velocities, etc. It provides a resource for music information retrieval (MIR), symbolic music modeling, composer classification,... -
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LenMus
LenMus is a free program for learning music theory.
*** Development moved to GitHub at https://github.com/lenmus/lenmus *** LenMus is a free program for learning music. It allows you to focus on specific skills and exercises, on both theory and aural training. The different activities can be customized to meet your needs. It includes an score editor. -
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VRWorkout
High-intensity virtual reality workout game
The game tracks your running speed and awards more points the faster you go. Arm movements to the beat of the music and fast ducking to avoid bad targets. Shallow or deep squats depending on your comfort level. Engange your core muscles by reaching for higher targets. Pushups followed by jumps get your heart pumping. Classic pushup, one-armed planks and side planks. Fast and small jumps similar to skip rope jumping. A “workout first” VR music game with hand tracking based full-body exercises in boot camp style workouts, your fitness wins regardless of your score. ... -
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わすらもち (for Android)
"百人一首" player specialized to "競技かるた" : for Android
"わすらもち (Wasuramoti)" is a Hyakunin-Isshu (*1) audio player specialized for training Kyogi-Karuta (*2). This Android application plays 100 poems randomly or in shuffled order. This site is just for distributing source code and .apk file. In order to install "わすらもち", it is convenient using Google Play ( https://play.google.com/store/apps/details?id=karuta.hpnpwd.wasuramoti ) (*1) "百人一首 (Hyakunin-Issshu)" is most famous set of Japanese poem. (*2) "競技かるた (Competitive Karuta)" is a...