Sources
Loading...
Additional media
Loading...
DeepNewz, mobile.
People-sourced. AI-powered. Unbiased News.
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.
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
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
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
