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Semi-Supervised Learning

3,075 papers

Papers per year

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17
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Papers

Retrieving Categorical Emotions Using a Probabilistic Framework to Define Preference Learning Samples INTERSPEECH 2016
Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM INTERSPEECH 2016
Automatic Pronunciation Generation by Utilizing a Semi-Supervised Deep Neural Networks INTERSPEECH 2016
Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering INTERSPEECH 2016
Semi-Supervised and Cross-Lingual Knowledge Transfer Learnings for DNN Hybrid Acoustic Models Under Low-Resource Conditions INTERSPEECH 2016
Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks INTERSPEECH 2016
Improving Deep Neural Networks Based Speaker Verification Using Unlabeled Data INTERSPEECH 2016
Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective INTERSPEECH 2016
Error Correction in Lightly Supervised Alignment of Broadcast Subtitles INTERSPEECH 2016
Iterative PLDA Adaptation for Speaker Diarization INTERSPEECH 2016
Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models INTERSPEECH 2016
Learning N-Gram Language Models from Uncertain Data INTERSPEECH 2016
Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development INTERSPEECH 2016
Multi-Language Neural Network Language Models INTERSPEECH 2016
A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding INTERSPEECH 2016
Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-Based I-Vectors INTERSPEECH 2016
Automatic Speech Recognition Using Probabilistic Transcriptions in Swahili, Amharic, and Dinka INTERSPEECH 2016
Semi-Supervised Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech INTERSPEECH 2016
A DNN-HMM Approach to Non-Negative Matrix Factorization Based Speech Enhancement INTERSPEECH 2016
A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation INTERSPEECH 2016
Semi-Supervised Speaker Adaptation for In-Vehicle Speech Recognition with Deep Neural Networks INTERSPEECH 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions INTERSPEECH 2016
Analysis of Mismatched Transcriptions Generated by Humans and Machines for Under-Resourced Languages INTERSPEECH 2016
Language Adaptive DNNs for Improved Low Resource Speech Recognition INTERSPEECH 2016