Projects sharing features with Audiomentations

Custom iOS music player view

DaCiDian is an open-sourced chinese mandarin lexicon for automatic speech recognition(ASR)

Painless high-performance audio on iOS and Mac OS X

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR

Replace the system volume popup with a more subtle indicator.

C library for cross-platform real-time audio input and output

🅿️ PandoraPlayer is a lightweight music player for iOS, based on AudioKit and completely written in Swift.

🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

Aubio is an audio analysis and digital signal processing library designed for music information retrieval. It provides a suite of tools for extracting musical features, estimating fundamental frequencies, and tracking rhythmic pulses in audio streams. The library specializes in the detection of pitch and beat, enabling the extraction of musical notes and the estimation of overall tempo. It also includes capabilities for automatic onset detection to identify the start of sonic events and the separation of audio signals into percussive transients and steady-state tonal components. The system c

AudioKit is an audio framework for iOS, macOS, and tvOS that provides tools for digital audio synthesis, signal processing, and audio analysis. It functions as a synthesis engine for generating audio waveforms and textures, a processing library for modifying tonal characteristics, and a toolkit for extracting frequency and amplitude data from sonic signals. The framework utilizes a modular node architecture and graph-based signal routing to connect audio generators, processors, and outputs. It wraps low-level audio primitives in high-level classes to facilitate sound generation and modificati

Cool Animated music indicator view written in Swift

This is a header-only library, as such most of its functional documentation is contained within the "header section" of the source code in the form of comments. It is highly recommended that you read said documentation before using this library.

iOS/OSX DSP for audio (with Novocaine)

cross-library (GStreamer Core Audio MAD FFmpeg) audio decoding for Python

Beets is a command-line music library manager that automates the organization, standardization, and maintenance of digital audio collections. It functions as a relational database-backed system that identifies audio content through acoustic fingerprinting and retrieves accurate metadata from online databases to ensure consistent tagging and directory structures. The project distinguishes itself through an event-driven pipeline architecture and a modular plugin system, which allow users to intercept and customize library processing workflows. This extensibility enables the integration of exter

A framework for composing and transforming music in Swift

1. Overview DESCRIPTION INSTALLATION NEW: MIDI OUT OVER SERIAL MIDI FILE COMPATIBILITY CPU AND MEMORY (RAM) USAGE PORTABILITY CLASSES DEPENDENCIES 2. Class MidiFile MidiFile constructor parameters filename buffersize=100 MidiFile Methods Iterating through the events of a MIDI file play lengthus…

alto provides idiomatic Rust bindings for OpenAL 1.1 and extensions (including EFX).

A library for augmenting annotated audio data

🎵 ID3 decoding and encoding library for Go

Higgs-audio is a generative text-to-speech engine that transforms text into natural conversational speech using large language model architectures. It functions as a multilingual speech synthesizer capable of generating high-fidelity audio across different languages with control over emotional tone and prosody. The system includes a voice cloning tool that creates synthetic replicas of specific speakers from short audio samples without requiring extensive model training. It also provides a streaming audio API designed to deliver generated speech incrementally to minimize playback delay. The

MegaTTS3 is a bilingual speech synthesis system that generates natural-sounding speech in Chinese and English, including seamless code-switching within a single utterance. It functions as a text-to-speech engine, voice cloning system, and speech-to-text alignment tool, built around an acoustic latent compression model that encodes high-resolution audio into compact representations for efficient processing. The system distinguishes itself through accent intensity control, allowing adjustment of a speaker's accent strength in generated speech, and voice cloning from short audio samples for pers

A framework for composing and transforming music in Swift