$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Noise reduction system using neural network 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G01L-007/08
  • G01L-005/06
출원번호 US-0448949 (1989-12-12)
우선권정보 JP-0313859 (1988-12-14)
발명자 / 주소
  • Aritsuka Toshiyuki (Nara JPX) Amano Akio (Higashimurayama JPX) Hataoka Nobuo (Kanagawa JPX) Ichikawa Akira (Musashino JPX)
출원인 / 주소
  • Hitachi, Ltd. (Tokyo JPX 03)
인용정보 피인용 횟수 : 27  인용 특허 : 0

초록

A noise reduction system used for transmission and/or recognition of speech includes a speech analyzer for analyzing a noisy speech input signal thereby converting the speech signal into feature vectors such as autocorrelation coefficients, and a neural network for receiving the feature vectors of t

대표청구항

A noise reduction system for transmitting a noise-suppressed speech signal, comprising: speech analysis means for a analyzing a noisy speech input signal thereby converting the speech signal into feature vectors; maximum detector means for detecting a maximum value from among the elements of said fe

이 특허를 인용한 특허 (27)

  1. Cong Lin ; Asghar Safdar M., Adaptive speech recognition with selective input data to a speech classifier.
  2. Christensen Alan K. ; Broadbent Christopher F., Audio diagnostic system and method using frequency spectrum and neural network.
  3. Miyazawa Yasunaga,JPX ; Inazumi Mitsuhiro,JPX ; Hasegawa Hiroshi,JPX ; Edatsune Isao,JPX ; Urano Osamu,JPX, Bifurcated speaker specific and non-speaker specific speech recognition method and apparatus.
  4. Asghar Safdar M. ; Cong Lin, Distance measure in a speech recognition system for speech recognition using frequency shifting factors to compensate for input signal frequency shifts.
  5. Iwahashi, Naoto; Bao, Hongchang; Honda, Hitoshi, Feature extraction apparatus and method and pattern recognition apparatus and method.
  6. Iwahashi,Naoto; Bao,Hongchang; Honda,Hitoshi, Feature extraction apparatus and method and pattern recognition apparatus and method.
  7. Asghar Safdar M. ; Cong Lin, Line spectral frequencies and energy features in a robust signal recognition system.
  8. Safdar M. Asghar ; Lin Cong, Matrix quantization with vector quantization error compensation and neural network postprocessing for robust speech recognition.
  9. Cong Lin ; Asghar Safdar M., Matrix quantization with vector quantization error compensation for robust speech recognition.
  10. Arunachalam, Chidambaram; Salgueiro, Gonzalo; Nainar, Nagendra Kumar; Chen, Eric; Griffin, Keith, Media quality prediction for collaboration services.
  11. Flanagan James L. ; Lin Qiguang ; Rahim Mazin ; Che Chiwei, Method and apparatus including microphone arrays and neural networks for speech/speaker recognition systems.
  12. Jeong, So-young; Oh, Kwang-cheol; Jeong, Jae-hoon; Kim, Jeong-su, Method and apparatus of transforming speech feature vectors using an auto-associative neural network.
  13. Hermansky Hynek ; Wan Eric A. ; Avendano Carlos M., Method and system for generating an estimated clean speech signal from a noisy speech signal.
  14. Aruna Bayya ; Marvin Vis, Method and system for objectively evaluating speech.
  15. Bayya Aruna ; Vis Marvin L., Method and system for region based filtering of speech.
  16. Schnitta Bonnie S. (29 Gann Rd. East Hampton NY 11927), Method for analyzing activity in a signal.
  17. Navratil,Jiri; Ramaswamy,Ganesh N.; Zilca,Ran D., Methods and apparatus for statistical biometric model migration.
  18. Safdar M. Asghar ; Lin Cong, Quantization using frequency and mean compensated frequency input data for robust speech recognition.
  19. Inazumi Mitsuhiro,JPX, Recognition apparatus using neural network, and learning method therefor.
  20. Dupont,St?phane, Robust parameters for noisy speech recognition.
  21. Asghar Safdar M. ; Cong Lin, Speech recognition system having a quantizer using a single robust codebook designed at multiple signal to noise ratios.
  22. Cong Lin ; Asghar Safdar M., Split matrix quantization with split vector quantization error compensation and selective enhanced processing for robust speech recognition.
  23. Paniconi, Marco, System and method for multi-channel multi-feature speech/noise classification for noise suppression.
  24. Paniconi, Marco, System and method for multi-channel multi-feature speech/noise classification for noise suppression.
  25. Paniconi, Marco, System and method for multi-channel multi-feature speech/noise classification for noise suppression.
  26. Reiswig, Rodger, Verbal intelligibility analyzer for audio announcement systems.
  27. Kochi Nobuo (Tokyo JPX), Waveform evaluating apparatus using neural network.
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로