Search Results for author:
Found 7 papers, 4 papers with code
Sonos Voice Control Bias Assessment Dataset: A Methodology for Demographic Bias Assessment in Voice Assistants
Recent works demonstrate that voice assistants do not perform equally well for everyone, but research on demographic robustness of speech technologies is still scarce.
Spoken Language Understanding on the Edge
We consider the problem of performing Spoken Language Understanding (SLU) on small devices typical of IoT applications.
Ranked #4 on
Spoken Language Understanding
on Snips-SmartSpeaker
Federated Learning for Keyword Spotting
We propose a practical approach based on federated learning to solve out-of-domain issues with continuously running embedded speech-based models such as wake word detectors.
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
This paper presents the machine learning architecture of the Snips Voice Platform, a software solution to perform Spoken Language Understanding on microprocessors typical of IoT devices.
Ranked #49 on
Speech Recognition
on LibriSpeech test-other
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Learning Operations on a Stack with Neural Turing Machines
Multiple extensions of Recurrent Neural Networks (RNNs) have been proposed recently to address the difficulty of storing information over long time periods.
Identification de lieux dans les messageries mobiles (Place extraction from smartphone messaging applications)
Nous pr{\'e}sentons un syst{\`e}me d{'}identification de lieux dans les messageries typiquement utilis{\'e}es sur smartphone.
Capturing the time-varying drivers of an epidemic using stochastic dynamical systems
Epidemics are often modelled using non-linear dynamical systems observed through partial and noisy data.
Applications Computation Methodology
