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automatic recognition

Automatic Recognition of Speech Sounds by a Digital Computer

Automatic Recognition of Speech Sounds by a Digital Computer

... AUTOMATIC RECOGNITION OF SPEECH SOUNDS BY A DIGITAL COMPUTER An t t i I iron en University of Oulu Inslitute of Phonetics AUTOMATIC RECOGNITION OF SPEECH SOUNDS BY A DIGITAL CO~UTER Three contribution[.] ...

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Automatic Recognition of Verbal Polysemy

Automatic Recognition of Verbal Polysemy

... Automatic Recognition of Verbal Polysemy Automatic Recognition of Verbal Polysemy F u m i y o F U K U M O T O * J u n ' i c h i T S U J I I l C e n t r e for C o m p u t a t i o n a l Linguistics, U M[.] ...

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Automatic Recognition of Lyrics in Singing

Automatic Recognition of Lyrics in Singing

... A second pass was added, using classes defined by acous- tic similarity. Different numbers of classes were clustered using the speech models and also the models already adapted to singing in the first pass. Figure 3 ...

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Automatic recognition by gait

Automatic recognition by gait

... simplest recognition feature and had also been used by Veres et ...IV-C). Recognition used the Euclidean distance between the averaged silhouette representations and the technique was shown to be ...

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Automatic recognition of ageing speakers

Automatic recognition of ageing speakers

... There are benefits to using a database with widely varying content: firstly, it is a closer representation of realistic operating conditions for a speaker verification system. In the case of the TCDSA database, recording ...

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Automatic Recognition of Intonation Patterns

Automatic Recognition of Intonation Patterns

... There is no effort to make distinctions which would require independent information about stress location, and provision is made for the case where the phrase accent and boundary tone co[r] ...

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Automatic Gait Recognition

Automatic Gait Recognition

... In what was perhaps the earliest approach to automatic recognition by gait, the gait signature was derived from the spatio-temporal pattern of a walking person 7 . Here, in XT dimensions (translation and ...

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Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network

Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network

... image recognition has surpassed that of experienced radiologists ...an automatic recognition and diagnosis system for thyroid images via deep learning based on the YOLOv2 neural network and achieve ...

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Facial Quality Enhancement Based Vector Segmentation

Facial Quality Enhancement Based Vector Segmentation

... Face recognition and detection by the ...face recognition from and image by using skin colour segmentation approach and connected region ...approach. Automatic recognition of people is a ...

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Advances in Automatic Gait Recognition

Advances in Automatic Gait Recognition

... Automatic recognition by gait is subject to increasing interest and has the unique capability to recognize people at a distance when other biometrics are ...Its recognition capability is supported by ...

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Review of Automatic Speech Recognition For Recognition of Speech and Speaker

Review of Automatic Speech Recognition For Recognition of Speech and Speaker

... speaker recognition methods have made it possible for computer to follow human speech ...speech recognition area is to develop systems for speech input to machine to convert it into ...text. ...

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Analysis and Design of Speech-Recognition Grammars

Analysis and Design of Speech-Recognition Grammars

... In 2005, Frost described an architecture for a Public-Domain SpeechWeb in the Communications of the ACM (Frost 2005). The architecture is based on the LRRP architecture and allows users who do not have expertise in ...

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A Review: Recognition of Automatic License Pl...

A Review: Recognition of Automatic License Pl...

... plate recognition is ...implementing Automatic License Plate Recognition using Speed up robust feature matching SURF technique for plate detection and Advanced Radial basis function for matching ...

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Handwritten Script recognition using Soft Computing

Handwritten Script recognition using Soft Computing

... Script Recognition (HMSR) is an area of pattern recognition that has been the subject of considerable research since last some ...script recognition (HSR) is a process of automatic computer ...

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Automatic Speech Recognition: A Review

Automatic Speech Recognition: A Review

... The essential feature of this approach is that the speech patterns are used directly without feature determination and segmentation. This approach involves two important steps: pattern training and pattern comparison. In ...

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Improved Human Identification using Finger Vein Images

Improved Human Identification using Finger Vein Images

... vein recognition prototype ...fingerprint recognition, retinal and iris scanning, facial recognition, hand and finger geometry and DNA ...handwriting recognition, voice authentication, gait, ...

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Tourist Interest Mining From Online Hotel Photos

Tourist Interest Mining From Online Hotel Photos

... We further examine the visual features at a larger scale using the collected hotel photo data set. It is worth pointing out that the photos can be taken at both day time and night time, such as in Figures 4.1a and 4.1c. ...

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Enhancing automatic term recognition through recognition of variation

Enhancing automatic term recognition through recognition of variation

... Terminological variation is an integral part of the linguistic ability to realise a concept in many ways, but it is typically considered an obstacle to automatic term recognition (ATR) and term management. ...

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Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired

Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired

... Speech recognition is an automated conversion of spoken works into system based readable text ...as Automatic Speech Recognition. Some speech recognition systems recog- nize only one person’s ...

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Research on Modulation Recognition Algorithm of Submarine Modulation Signal

Research on Modulation Recognition Algorithm of Submarine Modulation Signal

... pattern recognition method based on characteristic parameter extraction is used to identify, and three characteristic parameters of four modulation signals are ...correct recognition rate of the signal is ...

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