Improving hearing-aid gains based on automatic speech recognition
نویسندگان
چکیده
منابع مشابه
Automatic speech recognition to aid the hearing impaired: prospects for the automatic generation of cued speech.
Although great strides have been made in the development of automatic speech recognition (ASR) systems, the communication performance achievable with the output of current real-time speech recognition systems would be extremely poor relative to normal speech reception. An alternate application of ASR technology to aid the hearing impaired would derive cues from the acoustical speech signal that...
متن کاملImproving automatic speech recognition in spatially-aware hearing aids
In the context of ambient assisted living, automatic speech recognition (ASR) has the potential to provide textual support for hearing aid users in challenging acoustic conditions. In this paper we therefore investigate possibilities to improve ASR based on binaural hearing aid signals in complex acoustic scenes. Particularly, information about the spatial configuration of sound sources is expl...
متن کاملImproving of Feature Selection in Speech Emotion Recognition Based-on Hybrid Evolutionary Algorithms
One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorit...
متن کاملSpeech-recognition performance after long-term hearing aid use.
Larson et al (2000) reported the findings of a multicenter, NIDCDNA clinical trial that compared hearing aid performance for three output limiting circuits in 360 adults with symmetrical sensorineural hearing loss. The current study was undertaken to examine long-term hearing aid benefit in this same group of participants following five to six years of hearing aid use. The speech-recognition po...
متن کاملImproving automatic emotion recognition from speech signals
We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge includes classifier and feature sub-challenges with five-class and two-class classification problems. We investigate prosody related, spectral and HMM-based features for the ev...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 2020
ISSN: 0001-4966
DOI: 10.1121/10.0001866