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바벨스피치 (캐글뽀개기X바벨피쉬 콜라보 스터디 자료보관용)

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babelspeech's Introduction

babelspeech

바벨스피치 (캐글뽀개기X바벨피쉬) 파트4 평일반 스터디 자료모음

바벨스피치 스터디는 kosslab과 메가존에서 장소 후원하고 있습니다.

캐글뽀개기 : https://www.facebook.com/groups/kagglebreak/
바벨피쉬 : https://www.facebook.com/groups/babelPish/
구글드라이브 스케줄 : https://docs.google.com/spreadsheets/d/1vO5M5ygTE9P0TAMSpgR3Aw4Y_tO4l59ZzOqbcNKyphs/edit#gid=0
장소 : 토즈 강남2호점 또는 토즈 강남점
파트4은 격주 월요일

교재

(NL) Natural Language Natural Language Processing (Course materials for Georgia Tech CS 4650 and 7650, "Natural Language", ))
(음성인식 기초) Spoken Language Processing: A Guide to Theory, Algorithm and System Development
(참고 자료) GAN 논문 모음 (https://github.com/wiseodd/generative-models)
(코드) 케라스 실습 (https://github.com/eriklindernoren/Keras-GAN)

Part4 커리큘럼

요일	주제	발표자	발표자료
2018.07.09(월)	(NL) 1. Introduction	이상열	발표자료
	(음성인식 기초) 09. Acoustic Modeling (1)	송치성	발표자료
2018.08.06(월)	(NL) 2. Linear text classification	이상열	발표자료
	(음성인식 기초) 09. Acoustic Modeling (2)	송치성	발표자료
2018.08.20(월)	(NL) 3. NonLinear text classification	이상열	발표자료
	(음성인식 실습) MFCCs 실습	황영태	발표자료
2018.09.03(월)	(NL) 4. Linguistic applications of classification	이상열	발표자료
	(음성인식 실습) EPD 실습	송치성

Part3 커리큘럼

요일	주제	발표자	발표자료
2018.04.02(월)	(음성인식) 01. Intro & 02. Spoken Language Structure	송치성
	(딥NLP) 특강 - 엘라스틱서치 개요 및 소개	최원종	발표자료
	(GM) Intro to GANs	이상열	발표자료
2018.04.16(월)	(음성인식 기초) 03. PROBABILITY, STATISTICS AND INFORMATION THEORY	이수빈
	(NLP) Lecture 8 - Generating Language with Attention	김태흥
	(GM) Generative Modeling Review	이상열	발표자료
2018.04.30(월)	(음성인식 기초) 04. PATTERN RECOGNITION	윤희백
	(NLP)Lecture 9 - Speech Recognition (ASR)	박희준	발표자료
	(GM) Variational Autoencoders	김민석	발표자료
2018.05.14(월)	(음성인식 기초) 05. DIGITAL SIGNAL PROCESSING	송치성	발표자료
	(NLP) Lecture 10 - Text to Speech (TTS)	최현철
	(GM) Deep Convolutional GANs	박상원	발표자료
2018.05.28(월)	(NLP) Lecture 11 - Question Answering	홍수린	발표자료
	(NLP) Lecture 10 - Text to Speech (TTS)	최현철
	(GM) Semi-Supervised learning with GANs	이상열	발표자료
2018.06.11(월)	(음성인식 기초) 06. SPEECH SIGNAL REPRESENTATIONS	송치성
	(음성인식 기초) 07. SPEECH CODING	전재진	발표지료
	(NLP) Lecture 12 - Memory	주일택	발표자료

Part2 커리큘럼

요일	주제	발표자	발표자료
2018.01.08(월)	(음성인식) Speech Recognition: Advanced Decoding, Finite State Transducers	김소윤
	(음성인식) Speech Recognition: GMM Acoustic Modeling and Feature Extraction	김태흥
	(텐서플로우) Ch 6 Midden Markov Models	이상열	발표자료
2018.01.22(월)	(Deep NLP) Lecture 4 - Language Modelling and RNNs Part 2	김형락
	(음성인식) Speech Recognition: Neural Network Acoustic Models	김영범
	(텐서플로우) Ch 7 A peek into autoencoders	이상열	발표자료
2018.02.05(월)	(Deep NLP) Lecture 5 - Text Classification	이상열	발표자료1
	(음성인식) Speech Recognition: End-to-End Neural Network Recognition	송치성
	(텐서플로우) Ch 8 Reinforcement learning	송영숙	발표자료
2018.02.26(월)	(Deep NLP) Lecture 6 - Deep NLP on Nvidia GPUs	한재근
	(음성인식) Conversational Agents: Introduction and Frame-Based Dialogue	송영숙	발표자료
	(텐서플로우) Ch 9 Convolutional neural networks	김태완	발표자료
2018.03.19(월)	(Deep NLP) Lecture 7 - Conditional Language Models	송영숙
	(음성인식) Conversational Agents: Dialog Acts, Information State, and Markov Decision Processes	박은정	발표자료
	(텐서플로우) Ch 10 Recurrent neural networks	박상원	발표자료

Part1 커리큘럼

요일	주제	발표자	발표자료
2017.10.16(월)	(딥NLP) 1. Lecture 1a - Introduction	김무성
	(음성인식) Course Overview and History, Articulatory Phonetics and ARPAbet transcription	김무성
	(텐서플로우) Chpater 1 machine learning odyseey & Chapter 2	이상열	발표자료
2017.10.30(월)	(딥NLP) Lecture 1b - Deep Neural Networks Are Our Friends	이상열
	(음성인식) Phonetics: Acoustic Phonetics	김혁	발표자료
	(텐서플로우) Ch 3 Linear regression and beyond	장재윤
2017.11.13(월)	(딥NLP) Lecture 2a- Word Level Semantics	이인영	발표자료
	(음성인식) Speech Recognition: Noisy Channel Model, HMMs, Forward, Viterbi, Word Error Rate	김소윤	발표자료
	(텐서플로우) Ch 4 An introduction to classification	박재선	발표자료
2017.11.27(월)	(딥NLP) Lecture 2b - Overview of the Practicals	나영근	발표자료
	(텐서플로우) Ch 5 Automatically clustering data	김선기	발표자료
2017.12.11(월)	(딥NLP) Lecture 3 - Language Modelling and RNNs Part 1	주일택
	(음성인식) Speech Recognition: Advanced Decoding, Finite State Transducers	김소윤
	(음성인식) Speech Recognition: GMM Acoustic Modeling and Feature Extraction	김태흥
	(텐서플로우) Ch 6 Hidden Markov models	이상열	발표자료

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