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Edison Thomaz

3 accepted papers

2023

Dynamic Speech Endpoint Detection with Regression Targets

ICASSP 2023accepted

Interactive voice assistants have been widely used as input interfaces in various scenarios, e.g. on smart home devices, wearables and on AR devices. Detecting the end of a speech query, i.e. speech end-pointing, is an important task for voice assistants to interact with users. Traditionally, speech…

Cited by 0SourceScholar
2022

Infant Crying Detection In Real-World Environments

ICASSP 2022accepted

Most existing cry detection models have been tested with data collected in controlled settings. Thus, the extent to which they generalize to noisy and lived environments is unclear. In this paper, we evaluate several established machine learning approaches including a model leveraging both deep spec…

Cited by 0SourceScholar
2016

Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams

ICML 2016poster

The field of mobile health (mHealth) has the potential to yield new insights into health and behavior through the analysis of continuously recorded data from wearable health and activity sensors. In this paper, we present a hierarchical span-based conditional random field model for the key problem o…

Cited by 18SourcePDFScholar