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...

This paper proposes a noise robust speech recognition method using prosodic information. In Japanese, fundamental frequency (F0) contour represents phrase intonation and word accent information. Consequently, it conveys information about prosodic phrase and word boundaries. This paper first proposes a noise robust F0 extraction method using Hough transform, which achieves high extraction rates ...

This paper proposes a noise robust speech recognition method using prosodic information. In Japanese, fundamental frequency (F0) contour represents phrase intonation and word accent information. Consequently, it conveys information about prosodic phrase and word boundaries. This paper first proposes a noise robust F0 extraction method using Hough transform, which achieves high extraction rates ...

Speech recognition errors affect the performance of multimodal systems especially in noisy conditions. For that reason the use of speech recognition confidence score and time stamps is suggested. This paper deals with the impact of a signal enhancement method on these speech recognition’s parameters, in the presence of noise. By recognising noisy signals not only the word error rate (WER) incre...

Infovox is marketing a speaker-dependent, pattern-matching word recognition system, developed at KTH. The algorithms in the system have been modified for noise immunity, and performance has been evaluated in moving cars. The main problems were word detection and noise compensation. After simulations we decided to use a close-talking microphone and a "noise addition" method, where we added the m...

OBJECTIVES The aim of this study was to determine the minimum amount of low-frequency acoustic information that is required to achieve speech perception benefit in listeners with a cochlear implant in one ear and low-frequency hearing in the other ear. DESIGN The recognition of monosyllabic words in quiet and sentences in noise was evaluated in three listening conditions: electric stimulation...

This study investigated whether Japanese listeners learning English employ two types of lexical information (word frequency and neighborhood density) when they recognize English words. English words recorded by a native speaker of English and a native speaker of Japanese were presented to Japanese university students in a noise condition. The results of word recognition scores showed that Japan...

sar (synthetic aperture radar) image enhancement and segmentation is purpose of this thesis. sar image segmentation is a primary step before steps such as classification and target recognition. the main obstacle in sar image segmentation is inherent speckle noise. speckle noise is a multiplicative and highly destructive noise which results to intensity inhomogeneity. hence common segmentation m...