Description: 《Robust features for noisy speech recognition based on filtering and spectral peaks in autocorrelation domain》语音识别的鲁棒性方面的英文资料 Platform: |
Size: 235193 |
Author:付诗 |
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Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12192309 |
Author:kankan |
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Description: 《Robust features for noisy speech recognition based on filtering and spectral peaks in autocorrelation domain》语音识别的鲁棒性方面的英文资料- Robust features for noisy speech recognition based on filtering and spectral peaks in autocorrelation domain Robust Speech Recognition sexual information in English Platform: |
Size: 234496 |
Author:付诗 |
Hits:
Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image sequences* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms* Image-based lighting for illuminating scenes and objects with real-world light images* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more* Face detection, alignment, and recognition- with new solutions for key challenges* Perceptual interfaces for integrating vision, speech, and haptic modalities* Development with the Open Source Computer Vision Library (OpenCV)* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12191744 |
Author:kankan |
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Description: Robust Feature Extraction for Speech Recognition Based on Perceptually Motivated MUSIC and CCBC Platform: |
Size: 360448 |
Author:caodang |
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Description: An integrated study of speaker normalisation and HMM
adaptation for noise robust speaker-independent speech
recognition Platform: |
Size: 186368 |
Author:HOU |
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Description: Developing an Isolated Word Recognition System
in MATLAB.
Speech-recognition technology is embedded in voice-activated routing systems
at customer call centres, voice dialling on mobile phones, and many other
everyday applications. A robust speech-recognition system combines accuracy
of identification with the ability to filter out noise and adapt to other acoustic
conditions, such as the speaker’s speech rate and accent. Designing a robust
speech-recognition algorithm is a complex task requiring detailed knowledge of
signal processing and statistical modeling. Platform: |
Size: 670720 |
Author:fasterfox |
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Description: A robust speech recognit ion system based on discriminative learning of environmental features is
proposed for recognit ion of environmental features in high noise background, and a g radient descent algo
rithm was adopted for parameters opt imization. Ex periments w ere carried out at different levels of back
g round noise for SNR, basic accuracy, noise- resistance and system environment adaptability. T he experi
mental result s show that the system has good recog nition performance in high noisy environments. The sys
tem can meet different needs of applicat ion. Platform: |
Size: 167936 |
Author:yanyeguo |
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Description: Electronic industry now growing towards the automation of everything, It includes development of Touch screen Interface Voice Recognition etc. These are leads to a world in which almost all electronic systems are capable of working in response with human emotions and gestures. One major aspect to this growth is the detection or identification of human voice so that the system can response based on voice inputs. The application of such system involves in most of the day to day electronic devices as well as industry and computer. Voice recognition is the process of automatically recognizing what is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speaker‟ s voice control various operations. Platform: |
Size: 1161216 |
Author:pkmohamad |
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Description: 数据拟合与分群方法于强健语音特征提取之研究-Exploring the Use of Data Fitting and Clustering Techniques for Robust Speech Recognition Platform: |
Size: 749568 |
Author:ll |
Hits:
Description: 该文件为基于DTW的孤立词识别系统（特定人、小词汇量，未采用鲁棒语音识别技术）-The document DTW for isolated word recognition system based on (a specific person, small vocabulary, did not use robust speech recognition technology) Platform: |
Size: 635904 |
Author:zhelmet |
Hits:
Search - robust speech recognition