Apr 11, 01:03 AM

HuggingFace Launches Apache 2.0 Licensed Parler-TTS with 10K Hours Training Data

HuggingFace has released Parler-TTS, a new open-source inference and training library for text-to-speech (TTS) models, named Parler-TTS Mini v0.1. This library focuses on high-quality, controllable TTS models, allowing users to adjust pitch, speed, gender, noise levels, and emotional characteristics of the generated voice. It is licensed under Apache 2.0 and has been trained on 10K hours of extensive datasets, with the training code and datasets made available to the public. The initiative aims to fuel open-source TTS research and development.

#HuggingFace #Apache

Written with ChatGPT (GPT-4).

Sources

mrfakename@realmrfakename
3 years ago
Parler TTS is a new fully open sourced text-to-speech framework trained by Hugging Face. Describe a speaker you're thinking of, enter text, and listen to the generated audio! https://t.co/MrXzVyFgQC
Multiplatform.AI@MultiplatformAI
3 years ago
HuggingFace Launches Parler-TTS: A Leading Inference and Training Solution for Premium Text-to-Speech (TTS) Models #AI #AItechnology #artificialintelligence #Ethical #HuggingFace #inference #llm #machinelearning #opensource #ParlerTTS #training #TTS https://t.co/cjXV6QzvUj https://t.co/JF11gfGPYP
Deep_In_Depth@Deep_In_Depth
3 years ago
HuggingFace Releases Parler-TTS: An Inference and Training Library for High-Quality, Controllable Text-to-Speech (TTS) Models #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics https://t.co/9EKF3KK9jT

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