Google’s Magenta team has introduced Magenta RealTime (Magenta RT), an open-weight, real-time music generation model that brings unprecedented interactivity to […]
Category: Sound
Omni-R1: Advancing Audio Question Answering with Text-Driven Reinforcement Learning and Auto-Generated Data
Recent developments have shown that RL can significantly enhance the reasoning abilities of LLMs. Building on this progress, the study […]
Stability AI Introduces Adversarial Relativistic-Contrastive (ARC) Post-Training and Stable Audio Open Small: A Distillation-Free Breakthrough for Fast, Diverse, and Efficient Text-to-Audio Generation Across Devices
Text-to-audio generation has emerged as a transformative approach for synthesizing sound directly from textual prompts, offering practical use in music […]
Rime Introduces Arcana and Rimecaster (Open Source): Practical Voice AI Tools Built on Real-World Speech
The field of Voice AI is evolving toward more representative and adaptable systems. While many existing models have been trained […]
NVIDIA AI Introduces Audio-SDS: A Unified Diffusion-Based Framework for Prompt-Guided Audio Synthesis and Source Separation without Specialized Datasets
Audio diffusion models have achieved high-quality speech, music, and Foley sound synthesis, yet they predominantly excel at sample generation rather […]
The WAVLab Team is Releases of VERSA: A Comprehensive and Versatile Evaluation Toolkit for Assessing Speech, Audio, and Music Signals
AI models have made remarkable strides in generating speech, music, and other forms of audio content, expanding possibilities across communication, […]
Transforming Speech Generation: How the Emilia Dataset Revolutionizes Multilingual Natural Voice Synthesis
Speech generation technology has advanced considerably in recent years, yet there remain significant challenges. Traditional text-to-speech systems often rely on […]
Google AI Introduces ZeroBAS: A Neural Method to Synthesize Binaural Audio from Monaural Audio Recordings and Positional Information without Training on Any Binaural Data
Humans possess an extraordinary ability to localize sound sources and interpret their environment using auditory cues, a phenomenon termed spatial […]
Redefining Single-Channel Speech Enhancement: The xLSTM-SENet Approach
Speech processing systems often struggle to deliver clear audio in noisy environments. This challenge impacts applications such as hearing aids, […]
This AI Paper from NVIDIA and SUTD Singapore Introduces TANGOFLUX and CRPO: Efficient and High-Quality Text-to-Audio Generation with Flow Matching
Text-to-audio generation has transformed how audio content is created, automating processes that traditionally required significant expertise and time. This technology […]