Audio-Cassette-Simulation

Termixer is a terminal-based two-deck DJ mixer for Unix, built in Rust with ratatui for live performance with TidalCycles. It controls audio from MPV and SuperCollider and provides deck faders, panning, three-band EQ, low- and high-pass filters, crossfading, cue output, microphone input, and a 4x4 sample-pad grid with sequencing. It can record deck, master, microphone, synthesizer, or pad output to MP3, WAV, FLAC, or OGG, and supports SuperCollider SynthDefs, a built-in sine synthesizer, Vim-style navigation, and JSON import/export for pad and sequence sessions. Installation is available through crates.io, GitHub release archives, or source; MPV and FFmpeg are required for the corresponding playback and recording functions, while SuperCollider is optional for TidalCycles integration.

FFmpeg is a collection of libraries and command-line tools for processing multimedia content, including audio, video, subtitles, and related metadata. Its libraries provide codec implementations, streaming and container-format handling, filtering through directed graphs, device access, audio mixing and resampling, and image scaling and color conversion. The toolset includes ffmpeg for manipulating, converting, and streaming media, ffplay for playback, and ffprobe for inspecting media content. The codebase is mainly licensed under the LGPL, with optional components under the GPL. The repository is an official mirror of the FFmpeg project's Git repository; the project directs contributors to submit patches through its mailing list rather than GitHub pull requests.

VoiceStudio is an open-source, fully local desktop application for voice cloning and design, text-to-speech, transcription, dictation, video dubbing, and long-form audio production. It runs on macOS Apple Silicon, Windows, Linux, or Docker and keeps voices, projects, settings, and generated files on the machine by default. The application combines a Tauri desktop shell, a React and Vite interface, and a local FastAPI backend with registries for multiple TTS and ASR engines. Its workflows can transcribe and translate video, preserve speaker assignments, synthesize replacement speech, render audiobook chapters, separate vocals, diarize speakers, process batch jobs, and route work to CPU, CUDA, Apple Silicon MPS/MLX, ROCm, or optional remote workers. It also exposes local REST, SSE, WebSocket, OpenAI-compatible audio, and MCP interfaces, including speech synthesis and transcription endpoints. VoiceStudio is licensed under AGPL-3.0; downloaded models and tokenizers retain their own licenses. The local workflow requires no account, API key, subscription, or usage meter, although remote workers, configured external ASR endpoints, analytics, and other network-backed functions are opt-in. The repository describes the software as an active beta and distributes packaged desktop releases as well as source code.

ffmpeg-skill is an agent skill that gives Claude Code, Cursor, Codex, and other agents a local video- and audio-editing workflow built on FFmpeg and ffprobe. It uses a probe → edit, preferring stream copying where possible → check → verify process, with typed Python scripts rather than shell strings. Its 21 tools cover cutting, joining, silence removal, duration and aspect-ratio fitting, captions, overlays, graphics, HDR-to-SDR conversion, LUTs, audio cleanup, loudness, synchronization with drift correction, multicamera editing, delivery checks, project rendering, and batch processing. Each tool supports structured results and dry runs, and the machine-readable contract generates an MCP interface whose tool definitions are derived from the scripts. The skill runs locally without cloud services, API keys, or Python dependencies beyond the standard library; it requires FFmpeg 5.0 or later. It is a tool for local, agent-controlled workflows that probe, edit, verify, and render video.

VoxCPM is an open-source tokenizer-free text-to-speech system from OpenBMB for multilingual speech generation, voice design, and voice cloning. Its latest major release, VoxCPM2, directly generates continuous speech representations in the latent space of AudioVAE V2 through a four-stage diffusion-autoregressive pipeline: LocEnc, TSLM, RALM, and LocDiT. It accepts text, optional natural-language voice descriptions, or reference audio with transcripts, and produces streaming or batch speech audio; VoxCPM2 supports 30 languages, voice-style controls, controllable and continuation-based cloning, and native 48 kHz output. The project provides a Python package and command-line interface, a local web demo, fine-tuning through full supervised training or LoRA, and serving options including an OpenAI-compatible vLLM-Omni endpoint. Its code and model weights are released under the Apache-2.0 license. The project warns that generated voices can be misused for impersonation, fraud, or disinformation, and notes that voice-design and controllable-cloning results can vary between runs.