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Optimal hearing aid design through restoration of the neural code

Drakopoulos F, Pellatt L, Sabesan S, Xia Y, Gong T, Fragner A, Lesica NA.   +6 more
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Phoneme recognition in bimodal hearing

Acta Oto-Laryngologica, 2020
Many unilateral cochlear implant (CI) users have residual hearing in the nonimplanted ear, allowing them to use bimodal hearing. Assessing the hearing aid (HA) contribution is important.To examine the contribution of a contralateral HA in unilateral CI users with severe-profound hearing loss (HL) in the non-implanted ear to phonetic features perception.
Talma, Shpak, Tova, Most, Michal, Luntz
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Knowledge-based phoneme recognition

2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 1991
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Ederveen, D.N.M., Boves, L.W.J.
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Phoneme recognition by phoneme filter neural networks

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
A phoneme filter neural network (PFN) approach to vowel recognition is described. The PFN is a multilayer neural network with fewer hidden units than input units prepared for each of the phoneme categories. Each network is trained as identity mapping by speech data belonging to one phoneme category.
Masami Nakamura, Shinichi Tamura, Shigeki Sagayama   +2 more
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Direct models for phoneme recognition

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
This paper presents the theoretical framework of a new statistical model for phoneme recognition. In contrast with traditional HMMs, the posterior probability of a state sequence given an observation sequence is computed directly with the new model.
Anton Lilchododev, Yuqing Gao
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The Design of Phoneme Grouping for Coarse Phoneme Recognition

2007
Automatic speech recognition for real-world applications such as a robot should deal with speech under noisy environments. This paper presents coarse phoneme recognition which uses a phoneme group instead of a phoneme as a unit of speech recognition for such a real-world application.
Kazuhiro Nakadai, Ryota Sumiya, Mikio Nakano, Koichi Ichige, Yasuo Hirose, Hiroshi Tsujino   +5 more
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Speaker adaptation for phoneme recognition

ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A procedure for the adaptation of a phonetic recognition system to a new speaker, is described. The reference for each phoneme(cepstrum of the autoregressive model) is transformed linearly in order to fit optimally the utterances of a new speaker. In a first step, samples uttered by the new speaker are mapped onto corresponding utterances (reference ...
Yves Grenier, Laurent Miclet, J. C. Maurin, H. Michel   +3 more
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Phoneme recognition in continuous speech

ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
An algorithm for phoneme recognition in continuous speech is presented. A continuous matching process is employed to bypass the segmentation problem. A large set of standard patterns is used to solve the allophonic variation problem. Also, a hierarchical recognition algorithm is proposed to realize feasible matching in a real time.
Akio Komatsu, Akira Ichikawa, Kazuo Nakata, Yoshiaki Asakawa, Hiroko Matsuzaka   +4 more
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