Search Results for author:
Found 4 papers, 1 papers with code
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models
The sound codec's dual roles in minimizing data transmission latency and serving as tokenizers underscore its critical importance.
SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts
In this paper, we present pioneering research that explores the application of prompt tuning to stimulate speech LMs for various generation tasks, within a unified framework called SpeechGen, with around 10M trainable parameters.
On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting
User-defined keyword spotting is a task to detect new spoken terms defined by users.
MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing
Our experimental results first confirmed the robustness of our MiTAS on two types of perturbations in mixed audio.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
