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Found 5 papers, 1 papers with code
The USTC-NELSLIP Offline Speech Translation Systems for IWSLT 2022
This paper describes USTC-NELSLIP’s submissions to the IWSLT 2022 Offline Speech Translation task, including speech translation of talks from English to German, English to Chinese and English to Japanese.
DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation
While Diffusion Generative Models have achieved great success on image generation tasks, how to efficiently and effectively incorporate them into speech generation especially translation tasks remains a non-trivial problem.
Data-Centric Financial Large Language Models
Large language models (LLMs) show promise for natural language tasks but struggle when applied directly to complex domains like finance.
CNN-based Discriminative Training for Domain Compensation in Acoustic Event Detection with Frame-wise Classifier
Domain mismatch is a noteworthy issue in acoustic event detection tasks, as the target domain data is difficult to access in most real applications.
Multi-channel target speech extraction with channel decorrelation and target speaker adaptation
In this work, we propose two methods for exploiting the multi-channel spatial information to extract the target speech.
Speech Extraction
Audio and Speech Processing
