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Past review, current progress, and challenges ahead on the cocktail party problem Review

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 40-63 doi: 10.1631/FITEE.1700814

Abstract: ., tracing and recognizing the speech of a specific speaker when multiple speakers talk simultaneously, is one of the critical problems yet to be solved to enable the wide application of automatic speechWe focus our discussions on the speech separation problem given its central role in the cocktail partyscene analysis (CASA), non-negative matrix factorization (NMF) and generative models, the conventional multi-channeltechniques such as beamforming and multi-channel blind source separation, and the newly developed deep

Keywords： Computational auditory scene analysis Non-negative matrix factorization Permutation invariant training Multi-talkerspeech processing

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Multi-band Synchronization Model for Speech Recognition Under Noisy Condition

Sun Wei,Wu Zhenyang

Strategic Study of CAE 2006, Volume 8, Issue 3, Pages 31-34

Abstract:

Based on perception characteristic of human ear, this paper proposes synchronization multi-band maximumlikelihood linear regression algorithm for robust speech recognition under noisy condition.utilizes maximum likelihood as estimation criteria to compensate the effects of noisy condition with multi-band

Keywords： hidden Markov model maximum likelihood multi-band synchronization model speech recognition

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Multi－target Tracking Algorithm for Multi－static Radar SystemBased on Parallel Processing Mechanism

Xu Hongkui,Wang Dongjin,Chen Weidong

Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 151-156

Abstract: justify;">To investigate the problem of tracking multiple short range high speed maneuvering targets with multi- static radar system, a tracking algorithm based on parallel processing mechanism is derived.

Keywords： multi-static radar system multi-target tracking parallel processing MSJPDA parallel extendedkalman filtering

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Methods of Processing Ambiguity in Multi-Agent System

Wang Ziqiang,Feng Boqin

Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 72-77

Abstract: Methods of processing ambiguity based on Kripke structures in a multi-agent system is presented.The information states of multi-agent system are represented as a Kripke structures.in the information conveyed by ambiguous sentences, so it is of practical value for researching on multi-agent

Keywords： multi-agent system ambiguity processing method Kripke structure

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: In fiber laser beam welding (LBW), the selection of optimal processing parameters is challenging andThis study proposes a multi-objective optimization framework by combining an ensemble of metamodels (EMs) with the multi-objective artificial bee colony algorithm (MOABC) to identify the optimal weldingEM constructs the correlation between processing parameters (laser power, welding speed, and distanceFurthermore, the main effect and the interaction effect of processing parameters on bead geometries are

Keywords： laser beam welding parameter optimization metamodel multi-objective

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Fundamental frequency and testing mode of complicated elastic clamped-plate vibration

QI Hongyuan, GUAN Yiduo

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4, Pages 360-364 doi: 10.1007/s11465-008-0084-4

Abstract: determined by analyzing the fundamental frequency; meanwhile, according to hamming testing method of multi-pointexcitation to the single-point response, and by signal processing technology and its software programming

Keywords： multi-point excitation rectangle-plate single-point processing technology trigonometric interpolation

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Speech at the Luncheon of International Engineering Technology Conference

Song Jian

Strategic Study of CAE 2000, Volume 2, Issue 10, Pages 3-4

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A subband excitation substitute based scheme for narrowband speech watermarking Article

Wei LIU, Ai-qun HU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5, Pages 627-643 doi: 10.1631/FITEE.1601503

Abstract: We propose a new narrowband speech watermarking scheme by replacing part of the speech with a scaledTheoretically, it is proved that if a small amount of host speech is modified, then not only an idealwatermark signal by forcing its power level to be the same as the original passband excitation of the cover speech

Keywords： Analysis filter Linear prediction Narrowband speech watermarking Passband excitation replacement

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Speech at the Closing Ceremony of The Sixth Academician Conference of Chinese Academy of Engineering

徐匡迪

Strategic Study of CAE 2002, Volume 4, Issue 7, Pages 6-7

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Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5, Pages 358-366 doi: 10.1631/FITEE.1400323

Abstract: Emotion-based features are critical for achieving high performance in a speech emotion recognition (SERBoltzmann machines), which have promise for learning task-related features by using unlabeled data, to speech

Keywords： Speech emotion recognition Unsupervised feature learning Neural network Affect computing

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Review on flexible perovskite photodetector: processing and applications

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0749-z

Abstract: optical and electrical properties, remarkable mechanical flexibility, low-cost and low-temperature processingphotodetectors, strategies for device performance enhancement, few can be seen with a focus on the processingEmphatically, processing strategies for photodetectors are presented following, including flexible substrates

Keywords： photodetector perovskite flexible processing application

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Binary neural networks for speech recognition Regular Papers

Yan-min QIAN, Xu XIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5, Pages 701-715 doi: 10.1631/FITEE.1800469

Abstract: deep neural networks (DNNs) significantly outperform Gaussian mixture models in acoustic modeling for speechIn this work, binary neural networks for speech recognition are developed to reduce the computationalOn modern central processing unit (CPU) and graphics processing unit (GPU) architectures, a 5–7 timesneural networks and related model optimization algorithms are developed for large vocabulary continuous speechExperiments on the standard Switchboard speech recognition task show that the proposed binary neural

Keywords： Speech recognition Binary neural networks Binary matrix multiplication Knowledge distillation Population

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Efficient decoding self-attention for end-to-end speech synthesis Research Article

Wei ZHAO, Li XU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7, Pages 1127-1138 doi: 10.1631/FITEE.2100501

Abstract: has been innovatively applied to text-to-speech (TTS) because of its parallel structure and superiorThis problem becomes particularly severe on devices without graphics processing units (GPUs).find that our proposed model with EDSA can achieve 720% and 50% higher inference speed on the central processing

Keywords： Efficient decoding End-to-end Self-attention Speech synthesis

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Assessment of popular techniques for co-processing municipal solid waste in Chinese cement kilns

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 4, doi: 10.1007/s11783-021-1485-4

Abstract:

• Municipal solid waste (MSW) was fermented, screened, gasified, then co-processed.

Keywords： Cement kiln Co-processing Environmental risk assessment By-pass system

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A Smart Metasurface for Electromagnetic Manipulation Based on Speech Recognition Article

Lin Bai, Yuan Ke Liu, Liang Xu, Zheng Zhang, Qiang Wang, Wei Xiang Jiang, Cheng-Wei Qiu, Tie Jun Cui

Engineering 2023, Volume 22, Issue 3, Pages 185-190 doi: 10.1016/j.eng.2022.06.026

Abstract: propose and realize a smart metasurface for programming electromagnetic (EM) manipulations based on human speechThe smart metasurface platform is composed of a digital coding metasurface, a speech-recognition moduleTogether with the DAC and single-chip computer, the speech-recognition module can recognize voice commands

Keywords： Speech recognition Programmable metasurface Genetic algorithm Smart electromagnetic manipulation