Cochlear implant research and development in the twenty-first century: a critical update
Cochlear implants (CIs) are the world's most successful sensory prosthesis and have been
the subject of intense research and development in recent decades. We critically review the …
the subject of intense research and development in recent decades. We critically review the …
Speech processing in vocoder-centric cochlear implants
PC Loizou - Cochlear and brainstem implants, 2006 - karger.com
The principles of the most recent cochlear implant processors are similar to that of the
channel vocoder, originally used for transmitting speech over telephone lines with much less …
channel vocoder, originally used for transmitting speech over telephone lines with much less …
Pre-, per-and postoperative factors affecting performance of postlinguistically deaf adults using cochlear implants: a new conceptual model over time
Objective To test the influence of multiple factors on cochlear implant (CI) speech
performance in quiet and in noise for postlinguistically deaf adults, and to design a model of …
performance in quiet and in noise for postlinguistically deaf adults, and to design a model of …
A comparative intelligibility study of single-microphone noise reduction algorithms
The evaluation of intelligibility of noise reduction algorithms is reported. IEEE sentences and
consonants were corrupted by four types of noise including babble, car, street and train at …
consonants were corrupted by four types of noise including babble, car, street and train at …
[HTML][HTML] Using recurrent neural networks to improve the perception of speech in non-stationary noise by people with cochlear implants
Speech-in-noise perception is a major problem for users of cochlear implants (CIs),
especially with non-stationary background noise. Noise-reduction algorithms have produced …
especially with non-stationary background noise. Noise-reduction algorithms have produced …
Deep learning–based noise reduction approach to improve speech intelligibility for cochlear implant recipients
Objective: We investigate the clinical effectiveness of a novel deep learning–based noise
reduction (NR) approach under noisy conditions with challenging noise types at low signal …
reduction (NR) approach under noisy conditions with challenging noise types at low signal …
Clinical evaluation of signal-to-noise ratio–based noise reduction in Nucleus® cochlear implant recipients
Objective: The aim of this study was to investigate whether a real-time noise reduction
algorithm provided speech perception benefit for Cochlear™ Nucleus® cochlear implant …
algorithm provided speech perception benefit for Cochlear™ Nucleus® cochlear implant …
Smartphone-based real-time classification of noise signals using subband features and random forest classifier
This paper presents the real-time implementation and field testing of an app running on
smartphones for classifying noise signals involving subband features and a random forest …
smartphones for classifying noise signals involving subband features and a random forest …
Noise reduction in cochlear implant signal processing: A review and recent developments
Cochlear implant technology successfully restores hearing function to patients with sensory
impairment. Although cochlear implant users generally hear well in quiet, they still find noisy …
impairment. Although cochlear implant users generally hear well in quiet, they still find noisy …
Combining directional microphone and single-channel noise reduction algorithms: a clinical evaluation in difficult listening conditions with cochlear implant users
Objectives: This study tested a combination of algorithms designed to improve cochlear
implant performance in noise. A noise reduction (NR) algorithm, based on signal to noise …
implant performance in noise. A noise reduction (NR) algorithm, based on signal to noise …