7 citations · 7 across the 2 of their papers we have counts for
4 papers
PromptSep: Generative Audio Separation via Multimodal Prompting
Yutong Wen, Ke Chen, Prem Seetharaman +7
Recent breakthroughs in language-queried audio source separation (LASS) have shown that generative models can achieve higher separation audio quality than traditional masking-based…
SpeechOp: Inference-Time Task Composition for Generative Speech Processing
Justin Lovelace, Rithesh Kumar, Jiaqi Su +3
While generative Text-to-Speech (TTS) systems leverage vast ``in-the-wild" data to achieve remarkable success, speech-to-speech processing tasks like enhancement face data limitati…
SpeakEasy: Enhancing Text-to-Speech Interactions for Expressive Content Creation
Stephen Brade, Sam Anderson, Rithesh Kumar +2
Novice content creators often invest significant time recording expressive speech for social media videos. While recent advancements in text-to-speech (TTS) technology can generate…
DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers
Heitor R. Guimarães, Jiaqi Su, Rithesh Kumar +2
Real-world speech recordings suffer from degradations such as background noise and reverberation. Speech enhancement aims to mitigate these issues by generating clean high-fidelity…