Search Results for author:
Found 7 papers, 2 papers with code
M-BEST-RQ: A Multi-Channel Speech Foundation Model for Smart Glasses
For the conversational ASR task in particular, using only 8 hours of labeled speech, our model outperforms a supervised ASR baseline that is trained on 2000 hours of labeled data, which demonstrates the effectiveness of our approach.
Exploring the Feasibility of Automated Data Standardization using Large Language Models for Seamless Positioning
We propose a feasibility study for real-time automated data standardization leveraging Large Language Models (LLMs) to enhance seamless positioning systems in IoT environments.
AGADIR: Towards Array-Geometry Agnostic Directional Speech Recognition
Wearable devices like smart glasses are approaching the compute capability to seamlessly generate real-time closed captions for live conversations.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding
End-to-end (E2E) spoken language understanding (SLU) systems that generate a semantic parse from speech have become more promising recently.
Egocentric Audio-Visual Noise Suppression
In this paper, we first demonstrate that egocentric visual information is helpful for noise suppression.
Deep Learning for Needle Detection in a Cannulation Simulator
The CRNN was implemented in real time on commodity hardware for use in the cannulation simulator, and the performance was verified.
Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Networks
The resulting multi-stage speech enhancement system, in short, multi-stage SA-TCN, is compared with state-of-the-art deep-learning speech enhancement methods using the LibriSpeech and VCTK data sets.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
