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Linly-Dubbing is an automated video dubbing pipeline designed for multilingual video localization. It converts spoken content in videos into another language by coordinating speech-to-text transcription, text translation, and text-to-speech synthesis.
The main features of kedreamix/linly-dubbing are: AI Video Dubbing Tools, Lip-Synced, Audio and Video File Transcription, Source Separation Tools, Automatic Speech Recognition, Multilingual Voice Cloning Synthesizers, Speech Synthesis, Speech to Text Transcription.
Projects with overlapping indexed features include: elevenlabs/elevenlabs-python — This Python SDK provides a comprehensive toolkit for synthetic audio generation, voice cloning, and the development of… huanshere/videolingo — VideoLingo is an automated video localization suite designed to transcribe, translate, and dub video content. It… krillinai/krillinai — KrillinAI is an AI video localization pipeline and toolset designed to automate the process of transcribing,… abus-aikorea/voice-pro — Voice Pro is a comprehensive speech and audio processing toolkit that combines text-to-speech synthesis, voice… tmelyralab/musetalk — MuseTalk is a deep learning lip synchronization system designed to align video facial movements with audio tracks for… pluja/whishper — Whishper is a graphical user interface for transcribing audio and video files into text using the Whisper model. It…
This Python SDK provides a comprehensive toolkit for synthetic audio generation, voice cloning, and the development of conversational AI agents. It enables the creation of lifelike spoken audio from text, the replication of human voices through custom cloning, and the deployment of real-time voice agents capable of interacting with external large language models. The library distinguishes itself through deep integration of conversational AI capabilities, including the design of agent personas and the execution of real-time actions via APIs. It supports professional-grade audio production thro
VideoLingo is an automated video localization suite designed to transcribe, translate, and dub video content. It functions as a translation pipeline that utilizes large language models to convert spoken audio into precise text segments and translate them into multiple languages. The system differentiates itself through a multi-step translation refinement process and a specialized natural language processing utility that segments text into single-line captions meeting broadcast standards. It also integrates synthetic voiceover generation to replace or augment original audio tracks. The projec
KrillinAI is an AI video localization pipeline and toolset designed to automate the process of transcribing, translating, and dubbing video content into multiple languages. It provides a command-line interface to chain these stages into a single production workflow, coordinating speech-to-text transcription, translation, and audio generation. The system features a translation framework that uses large language models to maintain professional terminology and natural semantics rather than literal word replacement. It includes a dubbing tool that utilizes text-to-speech and voice cloning to gene
Voice Pro is a comprehensive speech and audio processing toolkit that combines text-to-speech synthesis, voice cloning, speech recognition, and translation capabilities into a single application. At its core, the project enables users to generate natural-sounding speech from text, clone voices from short audio samples without requiring prior training data, and perform real-time speech translation across over 100 languages. The platform distinguishes itself through its integrated multimedia workflow, allowing users to download YouTube videos, extract audio, separate voice tracks, generate word