Papers
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.
Enhancing Multilingual Recognition of Emotion in Speech by Language Identification
Hesam Sagha, Pavel Matějka, Maryna Gavryukova et al.
End-to-End Language Identification Using Attention-Based Recurrent Neural Networks
Wang Geng, Wenfu Wang, Yuanyuan Zhao et al.
Combining Weak Tokenisers for Phonotactic Language Recognition in a Resource-Constrained Setting
Raymond W.M. Ng, Bhusan Chettri, Thomas Hain
Automatic Dialect Detection in Arabic Broadcast Speech
Ahmed Ali, Najim Dehak, Patrick Cardinal et al.
An Investigation of Deep Neural Network Architectures for Language Recognition in Indian Languages
Mounika K.V., Sivanand Achanta, Lakshmi H. R. et al.
A Feature Normalisation Technique for PLLR Based Language Identification Systems
Sarith Fernando, Vidhyasaharan Sethu, Eliathamby Ambikairajah
Language Recognition via Sparse Coding
Youngjune L. Gwon, William M. Campbell, Douglas E. Sturim et al.
Towards Building an Attentive Artificial Listener: On the Perception of Attentiveness in Feedback Utterances
Catharine Oertel, Joakim Gustafson, Alan W. Black
Predicting User Satisfaction from Turn-Taking in Spoken Conversations
Shammur Absar Chowdhury, Evgeny A. Stepanov, Giuseppe Riccardi
Quantitative Analysis of Backchannels Uttered by an Interviewer During Neuropsychological Tests
Gérard Bailly, Frédéric Elisei, Alexandra Juphard et al.
Using Past Speaker Behavior to Better Predict Turn Transitions
Tomer Meshorer, Peter A. Heeman
Measuring Turn-Taking Offsets in Human-Human Dialogues
Rebecca Lunsford, Peter A. Heeman, Emma Rennie
Prediction and Generation of Backchannel Form for Attentive Listening Systems
Tatsuya Kawahara, Takashi Yamaguchi, Koji Inoue et al.
Speech Intelligibility Prediction Based on the Envelope Power Spectrum Model with the Dynamic Compressive Gammachirp Auditory Filterbank
Katsuhiko Yamamoto, Toshio Irino, Toshie Matsui et al.
Generalizing Steady State Suppression for Enhanced Intelligibility Under Reverberation
Petko N. Petkov, Yannis Stylianou
A Phase-Based Time-Frequency Masking for Multi-Channel Speech Enhancement in Domestic Environments
Alessio Brutti, Antigoni Tsiami, Athanasios Katsamanis et al.
Causal Speech Enhancement Combining Data-Driven Learning and Suppression Rule Estimation
Seyedmahdad Mirsamadi, Ivan Tashev
Noise Aware and Combined Noise Models for Speech Denoising in Unknown Noise Conditions
Pavlos Papadopoulos, Colin Vaz, Shrikanth S. Narayanan
Enhance the Word Vector with Prosodic Information for the Recurrent Neural Network Based TTS System
Xin Wang, Shinji Takaki, Junichi Yamagishi
Redefining the Linguistic Context Feature Set for HMM and DNN TTS Through Position and Parsing
Rasmus Dall, Kei Hashimoto, Keiichiro Oura et al.