86 citations · 220 across the 13 of their papers we have counts for
5 papers · 1 filter
SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions
Dominik Wagner, Alexander Churchill, Siddharth Sigtia +1
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 Model (…
Multimodal Data and Resource Efficient Device-Directed Speech Detection with Large Foundation Models
Dominik Wagner, Alexander Churchill, Siddharth Sigtia +4
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…
Improving Voice Trigger Detection with Metric Learning
Prateeth Nayak, Takuya Higuchi, Anmol Gupta +9
Voice trigger detection is an important task, which enables activating a voice assistant when a target user speaks a keyword phrase. A detector is typically trained on speech data…
Automatic Environmental Sound Recognition: Performance versus Computational Cost
Siddharth Sigtia, Adam M. Stark, Sacha Krstulovic +1
In the context of the Internet of Things (IoT), sound sensing applications are required to run on embedded platforms where notions of product pricing and form factor impose hard co…
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
Yong Xu, Qiang Huang, Wenwu Wang +4
Environmental audio tagging aims to predict only the presence or absence of certain acoustic events in the interested acoustic scene. In this paper we make contributions to audio t…