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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)

A 50-Year Retrospective on Speech and Language Processing INTERSPEECH 2016
Improving English Conversational Telephone Speech Recognition INTERSPEECH 2016
Small-Footprint Deep Neural Networks with Highway Connections for Speech Recognition INTERSPEECH 2016
Deep Convolutional Neural Networks with Layer-Wise Context Expansion and Attention INTERSPEECH 2016
Lower Frame Rate Neural Network Acoustic Models INTERSPEECH 2016
Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling INTERSPEECH 2016
Predicting Severity of Voice Disorder from DNN-HMM Acoustic Posteriors INTERSPEECH 2016
Automatic Classification of Lexical Stress in English and Arabic Languages Using Deep Learning INTERSPEECH 2016
Modulation Spectral Features for Predicting Vocal Emotion Recognition by Simulated Cochlear Implants INTERSPEECH 2016
Audio-Visual Speech Recognition Using Bimodal-Trained Bottleneck Features for a Person with Severe Hearing Loss INTERSPEECH 2016
A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences INTERSPEECH 2016
Speech Bandwidth Extension Using Bottleneck Features and Deep Recurrent Neural Networks INTERSPEECH 2016
Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance INTERSPEECH 2016
Personalized, Cross-Lingual TTS Using Phonetic Posteriorgrams INTERSPEECH 2016
A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks INTERSPEECH 2016
Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System Using Deep Recurrent Neural Networks INTERSPEECH 2016
Deep Neural Networks for i-Vector Language Identification of Short Utterances in Cars INTERSPEECH 2016
Segmental Recurrent Neural Networks for End-to-End Speech Recognition INTERSPEECH 2016
Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units INTERSPEECH 2016
Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition INTERSPEECH 2016
Stimulated Deep Neural Network for Speech Recognition INTERSPEECH 2016
Phonetic Context Embeddings for DNN-HMM Phone Recognition INTERSPEECH 2016
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks INTERSPEECH 2016
DBN-ivector Framework for Acoustic Emotion Recognition INTERSPEECH 2016
Single-Channel Multi-Speaker Separation Using Deep Clustering INTERSPEECH 2016