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KR960700498A - 통신 시스템에서의 송신 노이즈 감축(Transmitted noise reduction in communications systems) - Google Patents

통신 시스템에서의 송신 노이즈 감축(Transmitted noise reduction in communications systems)

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Publication number
KR960700498A
KR960700498A KR1019950703183A KR19950703183A KR960700498A KR 960700498 A KR960700498 A KR 960700498A KR 1019950703183 A KR1019950703183 A KR 1019950703183A KR 19950703183 A KR19950703183 A KR 19950703183A KR 960700498 A KR960700498 A KR 960700498A
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South Korea
Prior art keywords
frame
noise
signal
speech
frames
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KR1019950703183A
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English (en)
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KR0175965B1 (ko
Inventor
데일 와인 우드슨
Original Assignee
마틴 아이. 핀스톤
에이 티 앤드 티 코포레이션
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Publication of KR960700498A publication Critical patent/KR960700498A/ko
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Publication of KR0175965B1 publication Critical patent/KR0175965B1/ko

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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/18—Automatic or semi-automatic exchanges with means for reducing interference or noise; with means for reducing effects due to line faults with means for protecting lines
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/40—Applications of speech amplifiers
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L2021/02168—Noise filtering characterised by the method used for estimating noise the estimation exclusively taking place during speech pauses
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0264—Noise filtering characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
    • G10L25/12—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being prediction coefficients
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
    • G10L25/24—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being the cepstrum

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Noise Elimination (AREA)
  • Monitoring And Testing Of Exchanges (AREA)
  • Telephonic Communication Services (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)

Abstract

원격 통신망 서비스는 선형 예측 코딩 음성 모델의 반복적 추정을 사용하여 잡음을 필터링하는 신호 처리에 의해 전송된 잡음의 귀찮은 효과를 극복한다. 음성 모델 필터는 잡음만의 프레임인 것으로 음성 활성 검출기에 의해 결정된 인입 신호 프레임 샘플에 기초하여 현재 잡음 전력 스펙트럼 밀도의 정확한 갱신된 추정치를 사용한다. 선형 예측 코딩 모델을 사용하여 인입 신호를 계산하는 새로운 방법은 두 미래 프레임까지와 인정한 과거 프레임의 선택된 수에 기초한 현재 프레임의 인트러프레임 반복을 이루는데 제공된다. 이러한 처리 방법은 잡음 신호가 그 소스로부터 확인할 수 없는 경우에도 불구하고 유효하다.

Description

통신 시스템에서의 송신 노이즈 감축(Transmitted noise reduction in communications systems)
본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음
제1도는 본 발명을 포함하는 원격 통신 망을 나타내는 도면.
제1a도는 신호 처리 자원을 나타내는 도면.
제2도는 본 발명에서 실행될 유연한 동작을 나타내는 도면.
제3도는 음성 인핸스먼트에 대한 프레임 워크를 나타내는 도면.

Claims (11)

  1. 스위칭 노드와, 상기 노드와 접속하며 원격 위치로부터 신호 및 잡음을 구비하는 전송을 전달하는 인입전송 채널 및, 송출 신호 전송 채널을 구비하는 원격 통신망에서, 상기 인입 전송으로부터 잡음을 필터링하는 처리 방법에 있어서, 상기 인입 전송을 인핸스먼트된 음성 신호를 발생하도록 연속적으로 중복되고 시간 원도우된 정보 프레임으로 변환하는 단계로서, 각각의 프레임이 선형 예측 코딩(LPC) 음성 모델에 의해 인입 신호를 나타내기에 충분한 비율로 취해진 디지탈 샘플을 구비하게 되는 상기 변환 단계와; 상기 LPC음성 모델상에 반복 추정을 실행하는 수단을 포함하는 신호 필터의 메모리에 각각의 상기 프레임을 기억하는 단계와; 현재 프레임의 다수 인트러프레임 반복을 이루는 단계로서, 상기 신호 필터에서 잡음 스펙트럼의 현재 추정치 및 총 입력 신호 스펙트럼에 기초한 현재 프레임에 대한 음성 신호 성분의 초기 추정치를 만드는 단계와, 상기 초기 추정치로부터 상기 현재 프레임에 대한 등가의 LSP 위치 루트 셋을 발생하는 단계와, 각각의 상기 현재 프레임의 각 인트로프레임 반복에 대해 다수 미래 프레임상의 제1의 상기 반복으로부터 얻어진 다수 LSP 위치 루트 및 과거 프레임 반복중 상응하는 것으로부터 세이브된 위치 루트와 함께 상기 현재 프레임의 상기 위치루트를 평활화하는 단계에 의한 상기 다수 인트러프레임 반복 단계; 및 선택된 횟수단큼 인트러프레임 반복단계를 반복하는 단계를 구비하며, 최종의 상기 반복 출력은 인입 음성 신호의 실시간 추정치의 필터 프레임을 구비하게 되는 처리 방법.
  2. 제1항에 있어서, 상기 선택된 과거 프레임은 가장 최근 프레임중 네개 프레임 이상으로 구성되며, 선택된 상기 미래 프레임은 인접한 두 프레임으로 구성되는 처리 방법.
  3. 제2항에 있어서, 음성 내용을 갖는 프레임과 잡음만의 내용을 갖는 프레임간을 구별하는 단계와; 상기 잡음만의 프레임 내용을 사용하는 잡음 스펙트럼의 연속 추정치를 발생하는 단계; 및 잡음만의 프레임에 응답하여, 상기 잡음 스펙트럼 추정치를 갱신하는 단계를 더 구비하는 처리 방법.
  4. 제3항에 있어서, 잡음만의 프레임을 검출하는데 응답하여 상기 송출 전송 채널로부터 상기 필터 출력을 단락하며, 상기 인입 전송을 감쇄기를 통해 상기 송출 전송 채널로 직접 연결하는 단계를 더 구비하는 처리방법.
  5. 제4항에 있어서, 각각의 음성 프레임에 대해 음성이 유성음인지 무성음인지를 검출하는 단계와; 상기 음성 프레임의 검출기 응답하여, 상기 음성 모델의 차수를 10차수 LPC로 설정하는 단계; 및 상기 무성음의 음성 프레임의 검출에 응답하여 상기 10차수 보다 상당히 낮은 치수를 설정하는 단계를 더 구비하는 처리 방법.
  6. 제5항에 있어서, 상기 무성음의 음성 프레임 검출에 응답하여 설정된 상기 차수는 네번깨 내지 여섯번째 차수 사이의 범위에 있게 되는 처리 방법.
  7. 제6항에 있어서, 현재 잡음 프레임의 상기 현 추정치는 : 상기 필터에 얼마나 많은 잡음만의 연속적 프레임이 현재 기억되 있는지를 검출하는 단계와; 상기 연속적 프레임 수가 소정의 량 이상이라면, 상기 연속적 프레임의 평균 잡음 전력 스펙트럼을 계산하는 단계와; 상기 핑균 잡음 전력 스펙트럼 및 이전에 계산된 잡음전력 스펙트럼 사이의 차이를 측정하는 단계; 및 상기 차이 측정에 관련된 인자를 가중함으로써 최종의 두지정 스펙트럼 각각을 조절하는 합이 소정의 전력 스펙트럼 레벨과 일치하게 하는 상기 조절 단계를 구비하는 처리 단계에 의해 유도되는 처리 방법.
  8. 제7항에 있어서, 전송된 인입 잡음 임계치를 설정하고 상기 임계치 이상의 잡음이 존재하는지를 결정하는 단계와; 인입 호출이 유성음 신호 내용을 포함하는지를 결정하는 단계와; 발신수가 감소된 전송 잡음 에너지를 제공하는 원격 통신 서비스의 고객수인지를 결정하는 단계; 및 상기 최종 지정된 모든 예정이 존재하면 상기 스위칭 노드에서 상기 처리를 동작하는 단계를 더 구비하는 처리 방법.
  9. 제8항에 있어서, 각 프레임에 상기 LSP 루트 값에 대한 가중치를 적용하는 단계로서 상기 가중치는 LSP포르먼트 수, 총 프레임 전력 값, 프레임 전력 임계치, 연속적 잡음 임계치 Pcount, 및 상기 카운트 임계치 Lmax가 Pcount만큼 초과되는지를 선택적으로 결합함으로써 규정되어지게 되는, 상기 적용 단계를 더 구비하는 처리 방법.
  10. 제9항에 있어서, 각각의 상기 현재 프레임으로 이루어진 인트러프레임 반복수는 1 및 7 사이에 있는 처리 방법.
  11. 제10항에 있어서, 각각의 연속적 프레임상의 상기 인트러프레임 반복 처리를 반복하는 단계; 및 상기 출력을 발생하도록 시간 중복된 프레임 결과를 결합하는 단계를 더 구비하는 처리 방법.
    ※ 참고사항 : 최초출원 내용에 의하여 공개하는 것임.
KR1019950703183A 1993-11-30 1994-11-15 통신 시스템에서의 송신 노이즈 감축 KR0175965B1 (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16077093A 1993-11-30 1993-11-30
US160,770 1993-11-30
PCT/US1994/012998 WO1995015550A1 (en) 1993-11-30 1994-11-15 Transmitted noise reduction in communications systems

Publications (2)

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KR960700498A true KR960700498A (ko) 1996-01-20
KR0175965B1 KR0175965B1 (ko) 1999-04-01

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US (3) US5706394A (ko)
EP (1) EP0681730A4 (ko)
JP (1) JPH08506434A (ko)
KR (1) KR0175965B1 (ko)
CN (1) CN1129486A (ko)
CA (1) CA2153170C (ko)
PL (1) PL174216B1 (ko)
UA (1) UA41913C2 (ko)
WO (1) WO1995015550A1 (ko)

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