Nogueira, Waldo; Gajecki, Tom; Krüger, Benjamin; Janer Mestres, Jordi; Büchner, Andreas(Institute of Electrical and Electronics Engineers (IEEE), 2016)
The aim of this study is to investigate whether a source separation algorithm based on a deep recurrent neural network (DRNN) can provide a speech perception benefit for cochlear implant users when speech signals are mixed ...
Roma Trepat, Gerard; Herrera Boyer, Perfecto, 1964-; Nogueira, Waldo(Springer, 2018)
Recognition of environmental sound is usually based on two main architectures, depending on whether the model is trained with frame-level features or with aggregated descriptions of acoustic scenes or events. The former ...
Nogueira, Waldo; Haro Berois, Martín; Herrera Boyer, Perfecto, 1964-; Serra, Xavier(ACM Association for Computer Machinery, 2011)
This work presents a brief review on hearing with cochlear
implants with emphasis on music perception. Although speech
perception in noise with cochlear implants is still the major
challenge, music perception is becoming ...
Pons Puig, Jordi; Janer Mestres, Jordi; Rode, Thilo; Nogueira, Waldo(Acoustical Society of America, 2016)
Music perception remains rather poor for many Cochlear Implant (CI) users due to the users' deficient pitch perception. However, comprehensible vocals and simple music structures are well perceived by many CI users. In ...
