Learn More
Ambient noises and room reverberations seriously degrade the accuracy of speaker localization in real environments. In this paper we describe the localization of a speaker supposing that the speaker utters under a disturbance noise with large amplitude. Our algorithm localizes a sound source by finding the position that maximizes the accumulated correlation(More)
SUMMARY In real environments, the presence of ambient noise and room reverberations seriously degrades the accuracy in sound source local-ization. In addition, conventional sound source localization methods cannot localize multiple sound sources accurately in real noisy environments. This paper proposes a new method of multiple sound source localization(More)
The sound source localization plays an important role for extracting the target sound. In this paper we describe the lo-calization of multiple sound sources using a distributed microphone system that is a recording system with multiple microphones dispersed to a wide area. Our algorithm localizes a sound source by finding the position that maximizes the(More)
The development of spoken term detection (STD) techniques, which detect a given word or phrase from spoken documents, is widely conducted in order to realize easy access to large amount of multimedia contents including speech This paper describes improvement of the STD method which is based on the vector quantization (VQ) and has been proposed in NTCIR-9(More)
Speech recognition requires methods for calculating the acoustic likelihood of a speech sample using acoustic models that represent the spectrum diversity due to interspeaker variation. The acoustic features of a phoneme may vary over a large range between speakers; however, the relative relationships between phonemes are known to exhibit strong(More)
  • 1