16 projects for "website using python" with 2 filters applied:

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  • 1
    kokoro-onnx

    kokoro-onnx

    TTS with kokoro and onnx runtime

    ...It supports multiple languages and voices, with a curated voice list and configuration via a VOICES file hosted alongside the models. The package is distributed on PyPI, meaning you can integrate it directly into applications or scripts using standard Python tooling. It also recommends pairing with an external G2P package to improve pronunciation quality, especially for more complex languages or names, and is licensed under permissive MIT and Apache-style licenses.
    Downloads: 48 This Week
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  • 2
    AI Runner

    AI Runner

    Offline inference engine for art, real-time voice conversations

    ...The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents.
    Downloads: 10 This Week
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  • 3
    SoniTranslate

    SoniTranslate

    Synchronized Translation for Videos

    SoniTranslate is a video translation and dubbing system that produces synchronized target-language audio tracks for existing video content. It provides a web UI built with Gradio, allowing users to upload a video, choose source and target languages, and then run a pipeline that handles transcription, translation and re-synthesis of speech. Under the hood, it uses advanced speech and diarization models to separate speakers, align audio with timecodes and respect subtitle timing, which lets...
    Downloads: 44 This Week
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  • 4
    gTTS

    gTTS

    Python library and CLI tool to interface with Google Translate

    gTTS (Google Text-to-Speech) is a Python library and command-line tool that wraps the speech functionality of Google Translate. It lets you send text to the Google Translate TTS endpoint and receive spoken audio back as MP3 data, either written to a file, a file-like object, or standard output. The library is designed to handle long texts, using a speech-specific sentence tokenizer that keeps intonation and punctuation natural while splitting requests into acceptable chunks. ...
    Downloads: 6 This Week
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  • 5
    Orpheus TTS

    Orpheus TTS

    Towards Human-Sounding Speech

    Orpheus TTS is a state-of-the-art open-source text-to-speech system built on a Llama-3B backbone, treating speech synthesis as a large language model problem instead of a traditional TTS pipeline. It is designed to produce human-like speech with natural intonation, emotion, and rhythm, targeting quality comparable to or better than many closed-source systems. The project ships both pretrained and finetuned English models, as well as a family of multilingual models released as a research...
    Downloads: 2 This Week
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  • 6
    FastRTC

    FastRTC

    The python library for real-time communication

    FastRTC is a Python library designed to simplify real-time communication (RTC), especially for audio and video streaming applications. It abstracts away much of the complexity that typically comes with implementing WebRTC by providing a simple interface — e.g. a Stream class — that can be mounted within a web backend (for example a FastAPI application).
    Downloads: 0 This Week
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  • 7
    VideoChat

    VideoChat

    Real-time voice interactive digital human

    ...It supports both pure end-to-end voice solutions based on multimodal large language models (GLM-4-Voice feeding directly into talking-head generation) and a more traditional cascaded pipeline using ASR → LLM → TTS → talking head. It is built as a Gradio Python demo, exposing a web interface where users can talk to an animated avatar that lip-syncs to synthesized speech while responding intelligently. The system is customizable: you can define your own avatar appearance and voice, and it supports voice cloning so you can generate a new voice from a short 3–10 second reference sample. ...
    Downloads: 0 This Week
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  • 8
    Lingvo

    Lingvo

    Framework for building neural networks

    Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state...
    Downloads: 0 This Week
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  • 9
    WhisperSpeech

    WhisperSpeech

    An Open Source text-to-speech system built by inverting Whisper

    WhisperSpeech is an open-source text-to-speech system created by “inverting” OpenAI’s Whisper, reusing its strengths as a semantic audio model to generate speech instead of only transcribing it. The project aims to be for speech what Stable Diffusion is for images: powerful, hackable, and safe for commercial use, with code under Apache-2.0/MIT and models trained only on properly licensed data. Its architecture follows a token-based, multi-stage pipeline inspired by AudioLM and SPEAR-TTS:...
    Downloads: 0 This Week
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  • 10
    MARS5

    MARS5

    MARS5 speech model (TTS) from CAMB.AI

    MARS5-TTS is CAMB.AI’s open-source English speech model designed for high-quality text-to-speech and voice emulation. It uses a two-stage architecture that combines an autoregressive (AR) model with a non-autoregressive (NAR) model, giving it both expressiveness and speed. The model is built to handle prosodically challenging content such as sports commentary, anime dialogue, and other high-energy or highly varied speech patterns with realistic rhythm and intonation. To control speaker...
    Downloads: 0 This Week
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  • 11
    EmotiVoice

    EmotiVoice

    Multi-Voice and Prompt-Controlled TTS Engine

    EmotiVoice is a multi-voice, prompt-controlled text-to-speech engine designed to generate highly expressive speech across thousands of voices. It supports both English and Chinese and ships with over 2,000 preset voices, making it suitable for everything from characters and virtual anchors to narration and dialogue. The core idea is prompt-based emotional and style control: you can ask the engine to speak “happy,” “sad,” “excited,” or with other high-level style prompts that shape prosody,...
    Downloads: 4 This Week
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  • 12
    CSM (Conversational Speech Model)

    CSM (Conversational Speech Model)

    A Conversational Speech Generation Model

    The CSM (Conversational Speech Model) is a speech generation model developed by Sesame AI that creates RVQ audio codes from text and audio inputs. It uses a Llama backbone and a smaller audio decoder to produce audio codes for realistic speech synthesis. The model has been fine-tuned for interactive voice demos and is hosted on platforms like Hugging Face for testing. CSM offers a flexible setup and is compatible with CUDA-enabled GPUs for efficient execution.
    Downloads: 3 This Week
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  • 13
    Softwares For Blind, Deaf, Handicap

    Softwares For Blind, Deaf, Handicap

    Easy AI Softwares for Blind, Deaf, Handicapped, Disabled People

    Just download the above zip file, extract it first and then open the index.html file on internet browsers like Firefox ( preferable ) or Google Chrome. Also, keep NumLock ON while using the Numeric Keypad of any Keyboard. Can also attach an external USB keyboard, with seperate Numeric Keypad, if required. I have added some general guidelines for students, using these softwares, on the Wiki Page of this website. Please refer them for more instructions.
    Downloads: 0 This Week
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  • 14
    VITS

    VITS

    Conditional Variational Autoencoder with Adversarial Learning

    VITS is a foundational research implementation of “VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech,” a well-known neural TTS architecture. Unlike traditional two-stage systems that separately train an acoustic model and a vocoder, VITS trains an end-to-end model that maps text directly to waveform using a conditional variational autoencoder combined with normalizing flows and adversarial training. This architecture enables parallel generation...
    Downloads: 1 This Week
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  • 15
    Transformer TTS

    Transformer TTS

    Implementation of a Transformer based neural network

    TransformerTTS is an implementation of a non-autoregressive Transformer-based neural network for text-to-speech, built with TensorFlow 2. It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive...
    Downloads: 0 This Week
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  • 16
    HiFi-GAN

    HiFi-GAN

    Generative Adversarial Networks for Efficient and High Fidelity Speech

    HiFi-GAN is a GAN-based neural vocoder designed to generate high-fidelity speech waveforms from mel spectrograms with exceptional efficiency. It introduces a generator architecture tailored to model the periodic structure of speech and a set of discriminators that focus on different scales and periods of the waveform to better capture naturalness. The model targets a sweet spot between sample quality and generation speed, outperforming many previous GAN vocoders while being far faster than...
    Downloads: 1 This Week
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