This paper describes a spatial spectral subtraction method by using the complementary beamforming microphone array to enhance noisy speech signals for speech recognition. The complementary beamforming is based on two types of beamformers designed to obtain complementary directivity patterns with respect to each other. In this paper, it is shown that the nonlinear subtraction processing with com...

In this study, the performance of an auditory-model featureextraction “front end” was assessed in an isolated-word speech recognition task using a common hidden Markov model (HMM) “back end”, and compared with the performance of other feature representation front-end methods including mel-frequency cepstral coefficients (MFCC) and two variants (Jand L-) of the relative spectral amplitude (RASTA...

-An algorithm is presented for keyword recognition in Oriental language document images. The objective is to recognize keywords composed of more than one consecutive character in document images where there are no explicit visually defined word boundaries. The technique exploits the redundancy expressed by the difference between the number of possible character strings of a fixed length and the...

The performance of speech recognizers deteriorates in case of a mismatch between the conditions during training and recognition. One difference is the presence of a stationary background noise during recognition which is also referred to as “additive” noise. Furthermore the recognition is influenced by the frequency response of the whole transmission channel from the speaker to the audio input ...

ÐA recognition system for general isolated offline handwritten words using an approximate segment-string matching algorithm is described. The fundamental paradigm employed is a character-based segment-then-recognize/match strategy. Additional user supplied contextual information in the form of a lexicon guides a graph search to estimate the most likely word image identity. This system is design...

OBJECTIVES/HYPOTHESIS To report the preliminary outcomes of patients with single-sided deafness and asymmetric hearing loss undergoing cochlear implantation at two centers. STUDY DESIGN Retrospective review and prospective data collection. METHODS Patients with single-sided deafness who underwent cochlear implantation at two centers were included. Pre- and postoperative measures included mo...

The goal is to improve recognition rate by optimisation of Mel Frequency Cepstral Coe cients (MFCCs): modi cations concern the time-frequency representations used to estimate these coe cients. There are many ways to obtain a spectrum out of a signal which di er in the method itself (Fourier, Wavelets,...), and in the normalisation. We show here that we can obtain noise resistant cepstral coe ci...

The Mel-frequency cepstral coefficients (MFCC) are commonly used in speech recognition systems. But, they are high sensitive to presence of external noise. In this paper, we propose a noise compensation method for Mel filter bank energies and so MFCC features. This compensation method is performed in two stages: Mel sub-band filtering and then compression of Mel-sub-band energies. In the compre...