David Suendermann-Oeft

发表

Hard vs. Fuzzy Clustering for Speech Utterance Categorization

Amparo Albalate, David Suendermann-Oeft, David Suendermann-Oeft, 2008, PIT.

A semi-supervised cluster-and-label approach for utterance classification

Amparo Albalate, David Suendermann-Oeft, Aparna Suchindranath, 2010, INTERSPEECH.

Localization of speech recognition in spoken dialog systems: how machine translation can make our lives easier

David Suendermann-Oeft, Roberto Pieraccini, Jackson Liscombe, 2009, INTERSPEECH.

Automated Preamble Detection in Dictated Medical Reports

David Suendermann-Oeft, Wael Salloum, Greg Finley, 2017, BioNLP.

Semi-Supervised Acoustic Model Retraining for Medical ASR

David Suendermann-Oeft, Wael Salloum, Erik Edwards, 2018, SPECOM.

A Free Synthetic Corpus for Speaker Diarization Research

David Suendermann-Oeft, Erik Edwards, Mark Miller, 2018, SPECOM.

On the Utility of Audiovisual Dialog Technologies and Signal Analytics for Real-time Remote Monitoring of Depression Biomarkers

David Suendermann-Oeft, Vikram Ramanarayanan, Michael Neumann, 2020, NLPMC.

Automated Speech Recognition Technology for Dialogue Interaction with Non-Native Interlocutors

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2015, SIGDIAL Conference.

An automated medical scribe for documenting clinical encounters

David Suendermann-Oeft, Greg Finley, Erik Edwards, 2018, NAACL.

Automatic Turn-Level Language Identification for Code-Switched Spanish-English Dialog

David Suendermann-Oeft, Vikram Ramanarayanan, Yao Qian, 2018, IWSDS.

An artificial intelligence for the board game 'Quarto!' in Java

David Suendermann-Oeft, Michael Neumann, Jochen Mohrmann, 2013, PPPJ.

Human and Automated Scoring of Fluency, Pronunciation and Intonation During Human-Machine Spoken Dialog Interactions

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017, INTERSPEECH.

Expert and crowdsourced annotation of pronunciation errors for automatic scoring systems

Anastassia Loukina, Klaus Zechner, David Suendermann-Oeft, 2015, INTERSPEECH.

Medical code prediction with multi-view convolution and description-regularized label-dependent attention pdf

David Suendermann-Oeft, Mark Miller, Maxim Korenevsky, 2018, ArXiv.

A Non-parameterised Hierarchical Pole-based Clustering Algorithm (HPoBC)

Amparo Albalate, David Suendermann-Oeft, Steffen Rhinow, 2010, ICAART.

On Cluster Validation for Detecting the Number of Clusters in a Data Set

Amparo Albalate, David Suendermann-Oeft, Wolfgang Minker, 2011, Int. J. Artif. Intell. Tools.

Minimally invasive surgery for spoken dialog systems

David Suendermann-Oeft, Roberto Pieraccini, Jackson Liscombe, 2010, INTERSPEECH.

Caller Experience: A method for evaluating dialog systems and its automatic prediction

David Suendermann-Oeft, Roberto Pieraccini, Keelan Evanini, 2008, 2008 IEEE Spoken Language Technology Workshop.

Evaluation of VTLN-based voice conversion for embedded speech synthesis

Hermann Ney, David Suendermann-Oeft, Antonio Bonafonte, 2005, INTERSPEECH.

Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2016, INTERSPEECH.

Leveraging Multimodal Dialog Technology for the Design of Automated and Interactive Student Agents for Teacher Training

David Pautler, David Suendermann-Oeft, Vikram Ramanarayanan, 2018, SIGDIAL Conference.

Evaluating Speech, Face, Emotion and Body Movement Time-series Features for Automated Multimodal Presentation Scoring

David Suendermann-Oeft, Vikram Ramanarayanan, Chee Wee Leong, 2015, ICMI.

How to Make Right Decisions Based on Corrupt Information and Poor Counselors Tuning an Open-Source Question Answering System

David Suendermann-Oeft, Michael Muck, 2014 .

A Combination Approach to Cluster Validation Based on Statistical Quantiles

Amparo Albalate, David Suendermann-Oeft, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

A first step towards text-independent voice conversion

Hermann Ney, David Suendermann-Oeft, Antonio Bonafonte, 2004, INTERSPEECH.

Rushing to Judgement: How do Laypeople Rate Caller Engagement in Thin-Slice Videos of Human-Machine Dialog?

David Suendermann-Oeft, Vikram Ramanarayanan, Chee Wee Leong, 2017, INTERSPEECH.

Is it possible to predict task completion in automated troubleshooters?

David Suendermann-Oeft, Wolfgang Minker, Jackson Liscombe, 2010, INTERSPEECH.

Improving Sub-Phone Modeling for Better Native Language Identification with Non-Native English Speech

Frank K. Soong, David Suendermann-Oeft, Keelan Evanini, 2017, INTERSPEECH.

Text-independent cross-language voice conversion

Hermann Ney, Julia Hirschberg, David Suendermann-Oeft, 2006, INTERSPEECH.

Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC

David Pautler, David Suendermann-Oeft, Vikram Ramanarayanan, 2018, INTERSPEECH.

Toward Remote Patient Monitoring of Speech, Video, Cognitive and Respiratory Biomarkers Using Multimodal Dialog Technology

David Pautler, David Suendermann-Oeft, Vikram Ramanarayanan, 2020, INTERSPEECH.

Detecting Section Boundaries in Medical Dictations: Toward Real-Time Conversion of Medical Dictations to Clinical Reports

David Suendermann-Oeft, Erik Edwards, Mark Miller, 2018, SPECOM.

An Automated Assistant for Medical Scribes

David Suendermann-Oeft, Erik Edwards, Mark Miller, 2018, INTERSPEECH.

Using Vision and Speech Features for Automated Prediction of Performance Metrics in Multimodal Dialogs

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017 .

How to Drink from a Fire Hose: One Person Can Annoscribe One Million Utterances in One Month

David Suendermann-Oeft, Roberto Pieraccini, Jackson Liscombe, 2010, SIGDIAL Conference.

Game-based Spoken Dialog Language Learning Applications for Young Students

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2018, INTERSPEECH.

Multimodal HALEF: An Open-Source Modular Web-Based Multimodal Dialog Framework

David Suendermann-Oeft, Vikram Ramanarayanan, Alan W. Black, 2016, IWSDS.

LVCSR System on a Hybrid GPU-CPU Embedded Platform for Real-Time Dialog Applications

David Suendermann-Oeft, Alexei V. Ivanov, Patrick L. Lange, 2016, SIGDIAL Conference.

NEMSI: A Multimodal Dialog System for Screening of Neurological or Mental Conditions

David Pautler, David Suendermann-Oeft, Jackson Liscombe, 2019, IVA.

Pronunciation accuracy and intelligibility of non-native speech

Anastassia Loukina, Klaus Zechner, David Suendermann-Oeft, 2015, INTERSPEECH.

From rule-based to statistical grammars: Continuous improvement of large-scale spoken dialog systems

David Suendermann-Oeft, Roberto Pieraccini, Keelan Evanini, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Using bidirectional lstm recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech

Klaus Zechner, David Suendermann-Oeft, Vikram Ramanarayanan, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Bootstrapping Development of a Cloud-Based Spoken Dialog System in the Educational Domain From Scratch Using Crowdsourced Data

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2016 .

A Handsome Set of Metrics to Measure Utterance Classification Performance in Spoken Dialog Systems

David Suendermann-Oeft, Roberto Pieraccini, Jackson Liscombe, 2009, SIGDIAL Conference.

One Year of Contender: What Have We Learned about Assessing and Tuning Industrial Spoken Dialog Systems?

David Suendermann-Oeft, Roberto Pieraccini, 2012, SDCTD@NAACL-HLT.

Call Classification with Hundreds of Classes and Hundred Thousands of Training Utterances ... ... and No Target Domain Data

David Suendermann-Oeft, Roberto Pieraccini, Phillip Hunter, 2008, PIT.

A Multimodal Dialog System for Language Assessment: Current State and Future Directions

Klaus Zechner, David Suendermann-Oeft, Keelan Evanini, 2017 .

Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging

Hermann Ney, David Suendermann-Oeft, Maja Popovic, 2004, EMNLP.

Self-Adaptive DNN for Improving Spoken Language Proficiency Assessment

David Suendermann-Oeft, Keelan Evanini, Yao Qian, 2016, INTERSPEECH.

Jee haan, I'd like both, por favor: Elicitation of a Code-Switched Corpus of Hindi-English and Spanish-English Human-Machine Dialog

David Suendermann-Oeft, Vikram Ramanarayanan, 2017, INTERSPEECH.

HALEF: An Open-Source Standard-Compliant Telephony-Based Modular Spoken Dialog System: A Review and An Outlook

David Suendermann-Oeft, Vikram Ramanarayanan, Felix Neutatz, 2015, IWSDS.

Exploring ASR-free end-to-end modeling to improve spoken language understanding in a cloud-based dialog system

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Unusable Spoken Response Detection with BLSTM Neural Networks

Abhinav Misra, Michael I. Mandel, Su-Youn Yoon, 2018, 2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP).

Call classification for automated troubleshooting on large corpora

David Suendermann-Oeft, Roberto Pieraccini, Keelan Evanini, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

From dictations to clinical reports using machine translation

David Suendermann-Oeft, Wael Salloum, Greg Finley, 2018, NAACL.

Deep Learning for Punctuation Restoration in Medical Reports

David Suendermann-Oeft, Wael Salloum, Greg Finley, 2017, BioNLP.

Optimize the obvious: Automatic call flow generation

David Suendermann-Oeft, Roberto Pieraccini, Jackson Liscombe, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

An Open-Source Dialog System with Real-Time Engagement Tracking for Job Interview Training Applications

David Suendermann-Oeft, Vikram Ramanarayanan, Zhou Yu, 2017, IWSDS.

A modular, multimodal open-source virtual interviewer dialog agent

David Pautler, David Suendermann-Oeft, Vikram Ramanarayanan, 2017, ICMI.

Are We There Yet? Research in Commercial Spoken Dialog Systems

David Suendermann-Oeft, Roberto Pieraccini, Jackson Liscombe, 2009, TSD.

An analysis of time-aggregated and time-series features for scoring different aspects of multimodal presentation data

David Suendermann-Oeft, Vikram Ramanarayanan, Chee Wee Leong, 2015, INTERSPEECH.

Towards Visual Behavior Detection in Human-Machine Conversations

David Suendermann-Oeft, Oliver Roesler, 2019, 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR).

Evaluation of Freely Available Speech Synthesis Voices for Halef

David Suendermann-Oeft, Martin Mory, Patrick Lange, 2015 .

Crowdsourced Continuous Improvement of Medical Speech Recognition

David Suendermann-Oeft, Wael Salloum, Erik Edwards, 2017, AAAI Workshops.

Crowdsourcing ratings of caller engagement in thin-slice videos of human-machine dialog: benefits and pitfalls

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017, ICMI.

Speaker Diarization: A Top-Down Approach Using Syllabic Phonology

David Suendermann-Oeft, Erik Edwards, Mark Miller, 2018, SPECOM.

Medical Speech Recognition: Reaching Parity with Humans

David Suendermann-Oeft, Wael Salloum, Greg Finley, 2017, SPECOM.

On Ambiguity Detection and Postprocessing Schemes using Cluster Ensembles

Amparo Albalate, David Suendermann-Oeft, Aparna Suchindranath, 2010, ICAART.

KALDI GOES ANDROID

David Suendermann-Oeft, Rico Petrick, Christian Gaida, 2016 .

A distributed cloud-based dialog system for conversational application development

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2015, SIGDIAL Conference.

Improving DNN-Based Automatic Recognition of Non-native Children Speech with Adult Speech

David Suendermann-Oeft, Keelan Evanini, Yao Qian, 2016, WOCCI.

Assembling the Jigsaw: How Multiple Open Standards Are Synergistically Combined in the HALEF Multimodal Dialog System

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017 .

Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case

David Suendermann-Oeft, Vikram Ramanarayanan, Keelan Evanini, 2017, AAAI Workshops.

Towards a Distributed Open-Source Spoken Dialog System Following Industry Standards

David Suendermann-Oeft, Tim von Oldenburg, Jonathan Grupp, 2012, ITG Conference on Speech Communication.

Large-Scale Experiments on Data-Driven Design of Commercial Spoken Dialog Systems

David Suendermann-Oeft, Roberto Pieraccini, Jackson Liscombe, 2011, INTERSPEECH.

A study on residual prediction techniques for voice conversion

Hermann Ney, David Suendermann-Oeft, Antonio Bonafonte, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Text-Independent Voice Conversion Based on Unit Selection

Hermann Ney, David Suendermann-Oeft, Shrikanth S. Narayanan, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Voice Conversion Using Exclusively Unaligned Training Data

Hermann Ney, David Suendermann-Oeft, Antonio Bonafonte, 2004, Proces. del Leng. Natural.

Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale pdf

David Pautler, David Suendermann-Oeft, Vikram Ramanarayanan, 2021, Interspeech.

Comparing Open-Source Speech Recognition Toolkits ⋆

David Suendermann-Oeft, Rico Petrick, Christian Gaida, 2014 .

Modern Conversational Agents

David Suendermann-Oeft, David Suendermann-Oeft, 2014 .

Comparison of EEG Devices for Eye State Classification

David Suendermann-Oeft, Yoshikatsu Hayashi, Oliver Roesler, 2014 .

INTERVIEW WITH AN AVATAR : A REAL-TIME ENGAGEMENT TRACKING-ENABLED CLOUD-BASED MULTIMODAL DIALOG SYSTEM FOR LEARNING AND ASSESSMENT

David Pautler, David Suendermann-Oeft, Zhou Yu, 2016 .

TUNING SPHINX TO OUTPERFORM GOOGLE’S SPEECH RECOGNITION API∗

David Suendermann-Oeft, Patrick Lange, 2019 .