음성인식 기술

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SeongJun Mun

음성인식 기술의 사용 http://digxtal.egloos.com/2479709

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음성인식

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Kaldi-voice: Your personal speech recognition server using open source code

Xavier Anguera

An Introduction To Speech Recognition

Department of Telecommunications, Ministry of Communication & IT (INDIA)

This paper presents an approach to speaker recognition using frequency spectral information with Mel frequency for the improvement of speech feature representation in a Vector Quantization codebook based recognition approach. The Mel frequency approach extracts the features of the speech signal to get the training and testing vectors. The VQ Codebook approach uses training vectors to form clusters and recognize accurately with the help of LBG algorithm.

Speaker Recognition System using MFCC and Vector Quantization Approach

ijsrd.com

Minds ryl 사업

Taejoon Yoo

음성인식 기반 홈IoT 제품서비스 동향 및 시사점 스마트홈산업협회 (순천향대학교 김학용 교수)

Hakyong Kim

코노랩스(최재훈 CTO)_AI Startup D.PARTY_20161020

D.CAMP

Daum OAuth 2.0

Daum DNA

Speech recognition an overview

Varun Jain

마인즈랩소개자료 20150616

Taejoon Yoo

마인즈랩 사업소개 20151031_v1.0

Taejoon Yoo

마인즈랩 회사소개서 V1.5

Taejoon Yoo

https://telecombcn-dl.github.io/2017-dlsl/ Winter School on Deep Learning for Speech and Language. UPC BarcelonaTech ETSETB TelecomBCN. The aim of this course is to train students in methods of deep learning for speech and language. Recurrent Neural Networks (RNN) will be presented and analyzed in detail to understand the potential of these state of the art tools for time series processing. Engineering tips and scalability issues will be addressed to solve tasks such as machine translation, speech recognition, speech synthesis or question answering. Hands-on sessions will provide development skills so that attendees can become competent in contemporary data analytics tools.

End-to-end Speech Recognition with Recurrent Neural Networks (D3L6 Deep Learn...

Universitat Politècnica de Catalunya

Amazon Echo 기반 IoT 서비스 개발을 위한 Alexa Skills Kit 및 AWS Lambda 활용 (윤석찬)

Amazon Web Services Korea

Speaker recognition using MFCC

Hira Shaukat

Presentation describes what security challenges automotive industry encounter with towards autonomous driving. What security threats appear and why. Who are the threat agents and what are their objectives. It presents end-to-end data path security threats based on the recent automated driving hardware architectures and propose defense-in-depth to solve approach on ECU and intra-ECU level to mitigate those threats

Autonomous driving end-to-end security architecture

Andrei Kholodnyi

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음성인식

Kaldi-voice: Your personal speech recognition server using open source code

An Introduction To Speech Recognition

Speaker Recognition System using MFCC and Vector Quantization Approach

Minds ryl 사업

음성인식 기반 홈IoT 제품서비스 동향 및 시사점 스마트홈산업협회 (순천향대학교 김학용 교수)

코노랩스(최재훈 CTO)_AI Startup D.PARTY_20161020

Daum OAuth 2.0

Speech recognition an overview

마인즈랩소개자료 20150616

마인즈랩 사업소개 20151031_v1.0

마인즈랩 회사소개서 V1.5

End-to-end Speech Recognition with Recurrent Neural Networks (D3L6 Deep Learn...

Amazon Echo 기반 IoT 서비스 개발을 위한 Alexa Skills Kit 및 AWS Lambda 활용 (윤석찬)

Speaker recognition using MFCC

Autonomous driving end-to-end security architecture

음성인식 기술

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