Previous research examining the time course of lexical access during word recognition suggests that phonological processing precedes access to semantic information, which in turn precedes access to syntactic information. Bilingual word recognition likely requires an additional level: knowledge of which language a specific word belongs to. Using the recording of event-related potentials, we inve...

To what extent does semantic information play a functional role in visual word recognition? Theories of word recognition vary in the importance assigned to semantic information in visual lexical decision, with past research suggesting that the nature of the foils is a crucial determinant of semantic reliance. Here, we explored the conditions under which semantic variables influence lexical deci...

Word familiarity effects on lexical decision times and recognition scores were investigated for two sets of 100 spoken Japanese words whose familiarity ratings ranged from middle (4.0) to high (7.0) taken from a recently-developed word familiarity database containing about 80,000 Japanese words. The results showed that the higher the word familiarity rating is, the shorter the reaction time is,...

This paper addresses automatic speech recognition (ASR) for multilingual audio contents, such as international conference recordings and broadcast news. For handling such contents efficiently, a simultaneous ASR is promising. Conventionally, ASR has been performed independently, namely, language by language, although multilingual speech, which consists of utterances in several languages represe...

This study investigated whether cognitive measures obtained prior to cochlear implant surgery activation could predict improvements in spoken word recognition in adult cochlear implant recipients 6 months after activation. In addition to noncognitive factors identified by previous studies (i.e. younger age, shorter duration of hearing loss), the present results indicated that improvement in spo...

Support Vector Machines represent a new approach to pattern classification developed from the theory of Structural Risk Minimization[1]. In this paper, we present an investigation into the application of Support Vector Machines’ to the confidence measurement problem in speech recognition. Specifically, based on the results from an initial decoding of an utterance during speech recognition, we d...

background: speech perception ability depends on auditory and extra-auditory elements. the signal-to-noise ratio (snr) is an extra-auditory element that has an effect on the ability to normally follow speech and maintain a conversation. speech in noise perception difficulty is a common complaint of the elderly. in this study, the importance of snr magnitude as an extra-auditory effect on speech...

We describe the integration of across-word models in the RWTH large vocabulary continuous speech recognition system, where our main focus is on the realization of the acoustic recognition process. This paper presents a study of two search methods based on the priniciple of dynamic programming. For both methods we discuss the implementation details and give experimental results on the Verbmobil ...

Discrete Hidden Markov Model (HMM) and hybrid of Neural Network (NN) and HMM are popular methods in handwritten word recognition system. In the hybrid system, NN is used for character level recognition while HMM is used for producing word score based on the probability of the hypothesized characters combined. All reported results shows better recognition for the hybrid system due to better disc...

 Background: According to previous studies, most of the speech recognition disorders in older adults are the results of deficits in audibility and auditory temporal resolution. In this paper, the effect of ageing on timecompressed speech and auditory temporal resolution by word recognition in continuous and interrupted noise was studied. Methods: A time-compressed speech test (TCST) w...