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Speech & Audio

6,389 papers (14 classified directly here)

Subtopics

Recognition (3,347) Analysis (1,941) Synthesis (1,901) Processing (28)

Papers per year

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Papers (including subtopics)

An Analysis of Local Monotonic Attention Variants INTERSPEECH 2019
Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration INTERSPEECH 2019
Trainable Dynamic Subsampling for End-to-End Speech Recognition INTERSPEECH 2019
Shallow-Fusion End-to-End Contextual Biasing INTERSPEECH 2019
Bag-of-Acoustic-Words for Mental Health Assessment: A Deep Autoencoding Approach INTERSPEECH 2019
x-Vector DNN Refinement with Full-Length Recordings for Speaker Recognition INTERSPEECH 2019
Speaker Recognition Benchmark Using the CHiME-5 Corpus INTERSPEECH 2019
Investigating the Effects of Noisy and Reverberant Speech in Text-to-Speech Systems INTERSPEECH 2019
Selection and Training Schemes for Improving TTS Voice Built on Found Data INTERSPEECH 2019
All Together Now: The Living Audio Dataset INTERSPEECH 2019
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech INTERSPEECH 2019
Evaluating Intention Communication by TTS Using Explicit Definitions of Illocutionary Act Performance INTERSPEECH 2019
MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion INTERSPEECH 2019
Using Pupil Dilation to Measure Cognitive Load When Listening to Text-to-Speech in Quiet and in Noise INTERSPEECH 2019
A Chinese Dataset for Identifying Speakers in Novels INTERSPEECH 2019
CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages INTERSPEECH 2019
Attention Model for Articulatory Features Detection INTERSPEECH 2019
Unbiased Semi-Supervised LF-MMI Training Using Dropout INTERSPEECH 2019
Acoustic Model Optimization Based on Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition INTERSPEECH 2019
Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion INTERSPEECH 2019
Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks INTERSPEECH 2019
Lattice-Based Lightly-Supervised Acoustic Model Training INTERSPEECH 2019
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR INTERSPEECH 2019
End-to-End Automatic Speech Recognition with a Reconstruction Criterion Using Speech-to-Text and Text-to-Speech Encoder-Decoders INTERSPEECH 2019
Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning INTERSPEECH 2019