This project is a deep learning text-to-speech toolkit used for training and deploying neural speech synthesis models. It provides a comprehensive framework for converting written text into spoken audio, utilizing neural vocoders to transform synthesized spectrograms into high-fidelity audio waveforms. The toolkit includes a voice cloning system that replicates specific human voices by extracting speaker embeddings from short audio samples. It also supports multi-speaker audio synthesis, allowing the generation of speech across different vocal identities using specialized model architectures.
VoiceCraft is a neural speech generation and manipulation system consisting of a text-to-speech system, a voice cloning tool, and an audio inpainting engine. It uses a large language model approach to synthesize high-fidelity audio from text and replicate speaker identities. The system provides zero-shot voice cloning and speech editing capabilities, allowing users to modify spoken content within existing recordings. This includes an audio inpainting engine that replaces specific sections of audio with new speech while preserving the original acoustic characteristics and speaker identity. Th
EmotiVoice is an emotional text-to-speech engine and bilingual speech synthesizer designed to generate synthetic audio in English and Chinese. It utilizes a deep learning architecture to produce high-fidelity speech with controllable emotional states and timbres. The project includes a voice cloning framework for replicating specific speaker identities by training custom acoustic models on personal audio datasets. It employs a jointly-trained acoustic-vocoder pipeline and style-embedding-based synthesis to manage expression and reduce audio artifacts. The system covers a broad range of speec
seed-vc is an AI voice conversion tool and voice cloning system designed to transform the timbre, accent, and emotion of speech recordings. It provides a framework for replicating specific speaker identities and singing styles using short reference audio samples. The project includes a voice fine-tuning framework for training models on custom audio datasets to increase the accuracy of voice clones. It also features speech anonymization tools that remove unique speaker traits to produce a generic average voice for identity protection. The system covers a broad range of audio processing capabi
MockingBird is an AI voice cloning tool and text-to-speech system designed to generate synthetic speech. It functions as a voice synthesis trainer for building custom models from audio datasets, a command-line generator for producing audio files, and a text-to-speech server for remote application integration.
Die Hauptfunktionen von babysor/mockingbird sind: Zero-Shot Voice Cloning, Custom Model Training, Neural Text-to-Speech Engines, Real-Time Voice Cloning, Voice Cloning Tools, Voice Model Trainers, Audio, Voice Synthesizer Training.
Open-Source-Alternativen zu babysor/mockingbird sind unter anderem: coqui-ai/tts — This project is a deep learning text-to-speech toolkit used for training and deploying neural speech synthesis models.… jasonppy/voicecraft — VoiceCraft is a neural speech generation and manipulation system consisting of a text-to-speech system, a voice… netease-youdao/emotivoice — EmotiVoice is an emotional text-to-speech engine and bilingual speech synthesizer designed to generate synthetic audio… plachtaa/seed-vc — seed-vc is an AI voice conversion tool and voice cloning system designed to transform the timbre, accent, and emotion… boson-ai/higgs-audio — Higgs-audio is a generative text-to-speech engine that transforms text into natural conversational speech using large… myshell-ai/openvoice — OpenVoice is a multilingual text-to-speech framework and voice cloning AI model designed for high-fidelity voice…