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Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
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2915
3174
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Papers (including subtopics)

Improved Music Genre Classification with Convolutional Neural Networks INTERSPEECH 2016
Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation INTERSPEECH 2016
Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks INTERSPEECH 2016
Speech Localisation in a Multitalker Mixture by Humans and Machines INTERSPEECH 2016
Unsupervised Deep Auditory Model Using Stack of Convolutional RBMs for Speech Recognition INTERSPEECH 2016
Future Context Attention for Unidirectional LSTM Based Acoustic Model INTERSPEECH 2016
Multidimensional Residual Learning Based on Recurrent Neural Networks for Acoustic Modeling INTERSPEECH 2016
Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models INTERSPEECH 2016
Advances in Very Deep Convolutional Neural Networks for LVCSR INTERSPEECH 2016
Acoustic Modelling from the Signal Domain Using CNNs INTERSPEECH 2016
Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition INTERSPEECH 2016
Triphone State-Tying via Deep Canonical Correlation Analysis INTERSPEECH 2016
Low-Rank Representation of Nearest Neighbor Posterior Probabilities to Enhance DNN Based Acoustic Modeling INTERSPEECH 2016
Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-Based I-Vectors INTERSPEECH 2016
A Framework for Practical Multistream ASR INTERSPEECH 2016
DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data INTERSPEECH 2016
NN-Grams: Unifying Neural Network and n-Gram Language Models for Speech Recognition INTERSPEECH 2016
Sequential Recurrent Neural Networks for Language Modeling INTERSPEECH 2016
Word-Phrase-Entity Recurrent Neural Networks for Language Modeling INTERSPEECH 2016
LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speech Recognition INTERSPEECH 2016
CNN-Based Phone Segmentation Experiments in a Less-Represented Language INTERSPEECH 2016
Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks INTERSPEECH 2016
Representation Learning for Speech Emotion Recognition INTERSPEECH 2016
Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks INTERSPEECH 2016
Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection INTERSPEECH 2016