Parler TTS Mini v1 Parler TTS Mini v1 is a lightweight text to speech (TTS) model, trained on 45K hours of audio data, that can generate high quality, natural sounding speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation). With Parler TTS Large v1, this is the second set of models published as part of the Parler TTS project, which aims to provide the community with TTS training resources and dataset pre processing code. 📖 Quick Index 👨💻 Installation 🎲 Using a random voice 🎯 Using a specific speaker Motivation Optimizing inference 🛠️ Usage 👨💻 Installation Using Parler TTS is as simple as "bonjour". Simply install the library once: 🎲 Random voice Parler TTS has been trained to generate speech with features that can be controlled with a simple text prompt, for example: 🎯 Using a specific speaker To ensure speaker consistency across generations, this checkpoint was also trained on 34 speakers, characterized by name (e.g. Jon, Lea, Gary, Jenna, Mike, Laura). To take advantage of this, simply adapt your text description to specify which speaker to use: Jon's voice is monotone yet slightly…
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