VoiceStudio

Moonshine Voice is an open-source AI toolkit for developers building real-time voice agents and applications. It provides on-device speech-to-text, intent recognition, and text-to-speech, including streaming transcription that processes audio while the user is still speaking. The project offers speech-to-text models ranging from higher-accuracy models to approximately 1 MB models and provides one library for Python, JavaScript/WASM, iOS, Android, macOS, Linux, Windows, and Raspberry Pi. It is used by Gemma Translator for speech recognition and speech output, and can run without an account or API keys. The project is distributed under the MIT License, including its models by default, with legacy non-streaming models for non-English languages covered by a non-commercial Moonshine Community License.

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.

Speech To Speech is an open-source, modular voice-agent pipeline from Hugging Face. It chains voice activity detection, speech-to-text, a language model, and text-to-speech as separate stages connected by queues; each stage has interchangeable backends. The language-model stage supports OpenAI-compatible protocols and can use hosted providers, Hugging Face Inference Providers, vLLM, or llama.cpp, while the system streams transcripts, generated text, tool calls, and synthesized audio. The project exposes the core OpenAI Realtime event set through WebSocket and WebRTC and includes commands for running a realtime server, a microphone-and-speaker client, or a local setup. It is distributed as a Python package and requires Python 3.10 or newer. The repository says the pipeline is used as the conversation backend for Reachy Mini robots.

BetterVoice is an experimental, open-source macOS menu-bar app for local voice dictation with screen context. It transcribes speech locally and captures the full display whenever the user circles an area with the pointer, marking each capture with a blue pointer trail and pulse while preserving multiple references in order. The app inserts the transcript into the selected text field when macOS permits it and pastes captured images when both speech and screen context are available. It supports quick notes and long explanations, configurable microphones, dictation languages, circle-detection thresholds, and keyboard shortcuts. English uses a local Parakeet model by default, while other languages use a separately downloaded multilingual model; an optional English-only grammar-cleanup feature runs locally through quantized ONNX weights.

Steno is an open-source, privacy-first desktop AI notepad and meeting notetaker for Windows and macOS, intended for confidential conversations. It records microphone and system audio, provides live or post-meeting transcription with speaker labels, generates summaries, and supports natural-language queries across individual notes or the meeting library. Its local mode uses on-device AI models; on Apple Silicon, live transcription uses Parakeet TDT v3 through MLX, while Whisper supports post-stop transcription in 99 languages. On macOS 14.4 and later, native Core Audio Tap captures both sides of virtual meetings without a virtual audio cable and with selectable microphone input. Steno can detect meeting start and end events, offer to start or summarize recordings, append recordings to existing notes, provide global recording shortcuts, and include user notes in generated summaries. Notes, transcripts, and summaries are stored as editable Markdown, with one-way synchronization to an Obsidian vault and report templates for structured outputs. The project states that local recordings, transcripts, and summaries remain on the device and have no cloud usage limits; users can alternatively configure hosted models through OpenAI, Anthropic, AWS Bedrock, or a custom API endpoint.