23 citations · 26 across the 6 of their papers we have counts for
7 papers
VCNAC: A Variable-Channel Neural Audio Codec for Mono, Stereo, and Surround Sound
Florian Grötschla, Arunasish Sen, Alessandro Lombardi +2
We present VCNAC, a variable channel neural audio codec. Our approach features a single encoder and decoder parametrization that enables native inference for different channel setu…
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
Mateusz Łajszczak, Guillermo Cámbara, Yang Li +16
We introduce a text-to-speech (TTS) model called BASE TTS, which stands for ig daptive treamable TTS with mergent abilities. BASE TT…
Data Augmentation for Low-Resource Quechua ASR Improvement
Rodolfo Zevallos, Nuria Bel, Guillermo Cámbara +2
Automatic Speech Recognition (ASR) is a key element in new services that helps users to interact with an automated system. Deep learning methods have made it possible to deploy sys…
Voice Quality and Pitch Features in Transformer-Based Speech Recognition
Guillermo Cámbara, Jordi Luque, Mireia Farrús
Jitter and shimmer measurements have shown to be carriers of voice quality and prosodic information which enhance the performance of tasks like speaker recognition, diarization or…
Influence of ASR and Language Model on Alzheimer's Disease Detection
Joan Codina-Filbà, Guillermo Cámbara, Jordi Luque +1
Alzheimer's Disease is the most common form of dementia. Automatic detection from speech could help to identify symptoms at early stages, so that preventive actions can be carried…
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…
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…