JPS5911000A - 信号波形認識方式 - Google Patents

信号波形認識方式

Info

Publication number
JPS5911000A
JPS5911000A JP2873882A JP2873882A JPS5911000A JP S5911000 A JPS5911000 A JP S5911000A JP 2873882 A JP2873882 A JP 2873882A JP 2873882 A JP2873882 A JP 2873882A JP S5911000 A JPS5911000 A JP S5911000A
Authority
JP
Japan
Prior art keywords
waveform
signal waveform
waveform sequence
residual
sequence
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2873882A
Other languages
English (en)
Japanese (ja)
Other versions
JPS6258520B2 (enrdf_load_stackoverflow
Inventor
飯島　泰蔵
正人 赤木
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Toshiba Corp
Original Assignee
Tokyo Shibaura Electric Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tokyo Shibaura Electric Co Ltd filed Critical Tokyo Shibaura Electric Co Ltd
Priority to JP2873882A priority Critical patent/JPS5911000A/ja
Publication of JPS5911000A publication Critical patent/JPS5911000A/ja
Publication of JPS6258520B2 publication Critical patent/JPS6258520B2/ja
Granted legal-status Critical Current

Links

JP2873882A 1982-02-26 1982-02-26 信号波形認識方式 Granted JPS5911000A (ja)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2873882A JPS5911000A (ja) 1982-02-26 1982-02-26 信号波形認識方式

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2873882A JPS5911000A (ja) 1982-02-26 1982-02-26 信号波形認識方式

Publications (2)

Publication Number Publication Date
JPS5911000A true JPS5911000A (ja) 1984-01-20
JPS6258520B2 JPS6258520B2 (enrdf_load_stackoverflow) 1987-12-07

Family

ID=12256761

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2873882A Granted JPS5911000A (ja) 1982-02-26 1982-02-26 信号波形認識方式

Country Status (1)

Country Link
JP (1) JPS5911000A (enrdf_load_stackoverflow)

Also Published As

Publication number Publication date
JPS6258520B2 (enrdf_load_stackoverflow) 1987-12-07

Similar Documents

Publication Publication Date Title
US20220004870A1 (en) Speech recognition method and apparatus, and neural network training method and apparatus
Rivet et al. Audiovisual speech source separation: An overview of key methodologies
CN110970056B (zh) 一种从视频中分离音源的方法
Finn et al. Automatic optically-based recognition of speech
JPH03501657A (ja) パターン認識エラー低減装置
Rahman et al. Lip reading bengali words
Parekh et al. Guiding audio source separation by video object information
WO2023158226A1 (ko) 적대적 학습 기법을 이용한 음성 합성 방법 및 장치
Jin et al. Speech separation and emotion recognition for multi-speaker scenarios
De Mori A descriptive technique for automatic speech recognition
JPS5911000A (ja) 信号波形認識方式
Xiao et al. Improved source counting and separation for monaural mixture
Said et al. Integration of Time-Frequency Analysis and Regularization Technique for Improved Identification of Fetal Electrocardiogram.
Xu et al. Dual-path cross-modal attention for better audio-visual speech extraction
Chen et al. Flow-TSVAD: Target-Speaker Voice Activity Detection via Latent Flow Matching for Speaker Diarization
CN112489678B (zh) 一种基于信道特征的场景识别方法及装置
Feather et al. Auditory texture synthesis from task-optimized convolutional neural networks
CN110992966B (zh) 一种人声分离方法及系统
Nathwani et al. Consistent DNN uncertainty training and decoding for robust ASR
Lazzaro et al. Speech recognition experiments with silicon auditory models
Xu et al. Speaker-Aware Monaural Speech Separation.
US7218755B2 (en) Detecting temporally related components of multi-modal signals
Xu et al. Dual-path attention is all you need for audio-visual speech extraction
JPS6255799B2 (enrdf_load_stackoverflow)
Xie et al. Large-Scale Multi-Channel Transformer-based Speaker Identification with Knowledge Transfer Using Harmonic-Percussive Source Separation