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ASR II

Session Type: Poster

Time: Thursday, December 20, 13:30 - 15:30

Location: Kallirhoe Hall

1: OCCAM'S ADAPTATION: A COMPARISON OF INTERPOLATION OF BASES ADAPTATION METHODS FOR MULTI-DIALECT ACOUSTIC MODELING WITH LSTMS

Mikaela Grace; Google

Meysam Bastani; Google

Eugene Weinstein; Google

2: SPEECH CHAIN FOR SEMI-SUPERVISED LEARNING OF JAPANESE-ENGLISH CODE-SWITCHING ASR AND TTS

Sahoko Nakayama; Nara Institute of Science and Technology

Andros Tjandra; Nara Institute of Science and Technology

Sakriani Sakti; Nara Institute of Science and Technology

Satoshi Nakamura; Nara Institute of Science and Technology

3: IMPROVING ASR ERROR DETECTION WITH RNNLM ADAPTATION

Rahhal Errattahi; University of Chouaib Doukkali

Salil Deena; The University of Sheffield

Asmaa El Hannani; University of Chouaib Doukkali

Hassan Ouahmane; University of Chouaib Doukkali

Thomas Hain; The University of Sheffield

4: MULTI-OBJECTIVE MULTI-TASK LEARNING ON RNNLM FOR SPEECH RECOGNITION

Minguang Song; University of Missouri

Yunxin Zhao; University of Missouri

Shaojun Wang; Ping An Technology

5: CONFIDENCE ESTIMATION AND DELETION PREDICTION USING BIDIRECTIONAL RECURRENT NEURAL NETWORKS

Anton Ragni; University of Cambridge

Qiujia Li; University of Cambridge

Mark Gales; University of Cambridge

Yu Wang; University of Cambridge

6: IMPROVING OOV DETECTION AND RESOLUTION WITH EXTERNAL LANGUAGE MODELS IN ACOUSTIC-TO-WORD ASR

Hirofumi Inaguma; Kyoto University

Masato Mimura; Kyoto University

Shinsuke Sakai; Kyoto University

Tatsuya Kawahara; Kyoto University

7: LSTM LANGUAGE MODEL ADAPTATION WITH IMAGES AND TITLES FOR MULTIMEDIA AUTOMATIC SPEECH RECOGNITION

Yasufumi Moriya; Dublin City University

Gareth Jones; Dublin City University

8: FIRST-PASS TECHNIQUES FOR VERY LARGE VOCABULARY SPEECH RECOGNITION OF MORPHOLOGICALLY RICH LANGUAGES

Matti Varjokallio; Aalto University

Sami Virpioja; Aalto University

Mikko Kurimo; Aalto University

9: ANALYZING DEEP CNN-BASED UTTERANCE EMBEDDINGS FOR ACOUSTIC MODEL ADAPTATION

Joanna Rownicka; The University of Edinburgh

Peter Bell; The University of Edinburgh

Steve Renals; The University of Edinburgh

10: MULTI-BAND PROCESSING WITH GABOR FILTERS AND TIME DELAY NEURAL NETS FOR NOISE ROBUST SPEECH RECOGNITION

György Kovács; MTA-SZTE Research Group on Artificial Intelligence

László Tóth; University of Szeged

Gábor Gosztolya; MTA-SZTE Research Group on Artificial Intelligence

11: A TEACHER-STUDENT LEARNING APPROACH FOR UNSUPERVISED DOMAIN ADAPTATION OF SEQUENCE-TRAINED ASR MODELS

Vimal Manohar; Johns Hopkins University

Pegah Ghahremani; Johns Hopkins University

Daniel Povey; Johns Hopkins University

Sanjeev Khudanpur; Johns Hopkins University

12: DOMAIN ROBUST FEATURE EXTRACTION FOR RAPID LOW RESOURCE ASR DEVELOPMENT

Siddharth Dalmia; Carnegie Mellon University

Xinjian Li; Carnegie Mellon University

Florian Metze; Carnegie Mellon University

Alan W Black; Carnegie Mellon University