Papers
Teaming Up: Making the Most of Diverse Representations for a Novel Personalized Speech Retrieval Application
Stephanie Pancoast, Murat Akbacak
Context-Aware Restaurant Recommendation for Natural Language Queries: A Formative User Study in the Automotive Domain
Philipp Fischer, Cornelius Styp von Rekowski, Andreas Nürnberger
Manipulating Word Lattices to Incorporate Human Corrections
Yashesh Gaur, Florian Metze, Jeffrey P. Bigham
Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems
P. Lanchantin, Mark J.F. Gales, Penny Karanasou et al.
TheanoLM — An Extensible Toolkit for Neural Network Language Modeling
Seppo Enarvi, Mikko Kurimo
Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration
Ottokar Tilk, Tanel Alumäe
Multi-Language Neural Network Language Models
Anton Ragni, Edgar Dakin, Xie Chen et al.
Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages
Basil Abraham, S. Umesh, Neethu Mariam Joy
Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition
Michael Wand, Jürgen Schmidhuber
DNN-Based Feature Enhancement Using Joint Training Framework for Robust Multichannel Speech Recognition
Kang Hyun Lee, Tae Gyoon Kang, Woo Hyun Kang et al.
Sage: The New BBN Speech Processing Platform
Roger Hsiao, Ralf Meermeier, Tim Ng et al.
On Employing a Highly Mismatched Crowd for Speech Transcription
Purushotam Radadia, Rahul Kumar, Kanika Kalra et al.
Progress and Prospects for Spoken Language Technology: Results from Four Sexennial Surveys
Roger K. Moore, Ricard Marxer
Progress and Prospects for Spoken Language Technology: What Ordinary People Think
Roger K. Moore, Hui Li, Shih-Hao Liao
Minimizing Annotation Effort for Adaptation of Speech-Activity Detection Systems
Luciana Ferrer, Martin Graciarena
Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development
Florian B. Pokorny, Robert Peharz, Wolfgang Roth et al.
HAPPY Team Entry to NIST OpenSAD Challenge: A Fusion of Short-Term Unsupervised and Segment i-Vector Based Speech Activity Detectors
Tomi Kinnunen, Alexey Sholokhov, Elie Khoury et al.
Artificial Neural Network-Based Feature Combination for Spatial Voice Activity Detection
Stefan Meier, Walter Kellermann
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition
Naoya Takahashi, Michael Gygli, Beat Pfister et al.
Robust Sound Event Detection in Continuous Audio Environments
Haomin Zhang, Ian McLoughlin, Yan Song
Hierarchical Classification of Speaker and Background Noise and Estimation of SNR Using Sparse Representation
K.V. Vijay Girish, A.G. Ramakrishnan, T.V. Ananthapadmanabha
Towards Smart-Cars That Can Listen: Abnormal Acoustic Event Detection on the Road
Mahesh Kumar Nandwana, Taufiq Hasan
Anchored Speech Detection
Roland Maas, Sree Hari Krishnan Parthasarathi, Brian King et al.
Combining Energy and Cross-Entropy Analysis for Nuclear Segments Detection
Antonio Origlia, Francesco Cutugno
Deep Neural Network Bottleneck Features for Acoustic Event Recognition
Seongkyu Mun, Suwon Shon, Wooil Kim et al.