Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A multimodal approach to device-directed speech detection with large language models
Interactions with virtual assistants typically start with a predefined trigger phrase followed by
the user command. To make interactions with the assistant more intuitive, we explore …
the user command. To make interactions with the assistant more intuitive, we explore …
Leveraging Contrastive Language–Image Pre-Training and Bidirectional Cross-attention for Multimodal Keyword Spotting
In resource-limited keyword spotting scenarios, the scarcity of annotated corpora hinders
deep learning's ability to develop robust models for representing acoustic features. Recent …
deep learning's ability to develop robust models for representing acoustic features. Recent …
[PDF][PDF] Small footprint multi-channel network for keyword spotting with centroid based awareness
Abstract Spoken Keyword Spotting (KWS) in noisy far-field environments is challenging for
small-footprint models, given the restrictions on computational resources (eg, model size …
small-footprint models, given the restrictions on computational resources (eg, model size …
Self-supervised learning-for underwater acoustic signal classification with mixup
Underwater acoustic signal classification is a critical task that involves identifying different
types of signals in a complex and dynamic underwater environment, which is often …
types of signals in a complex and dynamic underwater environment, which is often …
Multimodal data and resource efficient device-directed speech detection with large foundation models
Interactions with virtual assistants typically start with a trigger phrase followed by a
command. In this work, we explore the possibility of making these interactions more natural …
command. In this work, we explore the possibility of making these interactions more natural …
Aca-net: Towards lightweight speaker verification using asymmetric cross attention
In this paper, we propose ACA-Net, a lightweight, global context-aware speaker embedding
extractor for Speaker Verification (SV) that improves upon existing work by using Asymmetric …
extractor for Speaker Verification (SV) that improves upon existing work by using Asymmetric …
[PDF][PDF] Dual-memory multimodal learning for continual spoken keyword spotting with confidence selection and diversity enhancement
Enabling continual learning (CL) from an ever-changing environment is highly valuable, but
it poses significant challenges for spoken keyword spotting (KWS), which simultaneously …
it poses significant challenges for spoken keyword spotting (KWS), which simultaneously …
Efficient time and energy optimization in NOMA-enabled mobile edge computing through partial offloading
Customized keyword spotting needs to adapt quickly to small user samples. Current
methods primarily solve the problem under moderate noise conditions. Recent work …
methods primarily solve the problem under moderate noise conditions. Recent work …
Machine Learning Analysis of Radio Data to Uncover Community Perceptions on the Ebola Outbreak in Uganda
Radio is vital for people, especially in rural areas, to share their concerns through interactive
talk shows. Understanding public perceptions of pandemics is crucial because they …
talk shows. Understanding public perceptions of pandemics is crucial because they …
SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions
In this work, we present and evaluate SELMA, a Speech-Enabled Language Model for
virtual Assistant interactions that integrates audio and text as inputs to a Large Language …
virtual Assistant interactions that integrates audio and text as inputs to a Large Language …