Real-Time Text-to-Speech Model

Models
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Greetings everyone, I’m currently looking for real-time tts model that can create an audio as soon as I type. Kindly guide me in this regard.

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Greetings! If you’re looking for a real-time text-to-speech (TTS) model that generates audio immediately as you type, here are some excellent options:

Open-Source Models

  1. Mozilla TTS:

    • An open-source TTS framework that supports real-time synthesis with models like Tacotron 2 and WaveGlow.
    • Easy to train and fine-tune for specific voices or accents.

  2. Coqui TTS:

    • A fork of Mozilla TTS, designed for real-time and high-quality audio generation.
    • Offers flexibility and actively maintained with great community support.

  3. FastSpeech 2 + HiFi-GAN:

    • Fast and efficient for real-time applications.
    • FastSpeech handles text-to-mel-spectrogram generation, and HiFi-GAN converts it into realistic audio.

Pre-Trained APIs

  1. Google Cloud Text-to-Speech API:

    • Offers real-time responses with lifelike voices.
    • Supports SSML for fine-grained control over pronunciation.

  2. Microsoft Azure Speech Service:

    • High-quality, real-time audio generation with customizable voice profiles.

  3. AWS Polly:

    • Provides near real-time TTS synthesis with neural and standard voices.

Specialized Real-Time Models

  1. ElevenLabs (Proprietary):

    • Focuses on hyper-realistic real-time TTS. Great for dynamic use cases.

  2. Riffusion:

    • Though not specifically TTS, this model generates audio from text-based prompts, useful for creative applications.

Setup and Latency Considerations

  • For open-source solutions, ensure you’re using a GPU for low latency.
  • Real-time TTS involves a balance between audio quality and inference speed. Look into frameworks like ONNX Runtime or TensorRT for optimizing model performance.

Feel free to share your use case for tailored recommendations!

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Thank You for guidance.

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