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English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System
Guillermo Cámbara, Alex Peiró-Lilja, Mireia Farrús +1
Nowadays, research in speech technologies has gotten a lot out thanks to recently created public domain corpora that contain thousands of recording hours. These large amounts of da…
Efficient Keyword Spotting by capturing long-range interactions with Temporal Lambda Networks
Biel Tura, Santiago Escuder, Ferran Diego +2
Models based on attention mechanisms have shown unprecedented speech recognition performance. However, they are computationally expensive and unnecessarily complex for keyword spot…
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
Martin Kocour, Guillermo Cámbara, Jordi Luque +5
This paper describes joint effort of BUT and Telefónica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge. We compare approaches based on…
Convolutional Speech Recognition with Pitch and Voice Quality Features
Guillermo Cámbara, Jordi Luque, Mireia Farrús
The effects of adding pitch and voice quality features such as jitter and shimmer to a state-of-the-art CNN model for Automatic Speech Recognition are studied in this work. Pitch f…
Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing
Guillermo Cámbara, Jordi Luque, Mireia Farrús
The use of photoplethysmogram signal (PPG) for heart and sleep monitoring is commonly found nowadays in smartphones and wrist wearables. Besides common usages, it has been proposed…