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Automatic Speech Recognition

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TitleStatusHype
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural NetworksCode0
Towards Online End-to-end Transformer Automatic Speech Recognition—0
ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech ToolkitCode0
Analyzing the impact of speaker localization errors on speech separation for automatic speech recognitionCode0
Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition—0
Recognizing long-form speech using streaming end-to-end models—0
Analyzing ASR pretraining for low-resource speech-to-text translation—0
RNN based Incremental Online Spoken Language Understanding—0
A practical two-stage training strategy for multi-stream end-to-end speech recognition—0
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model—0
Word-level Embeddings for Cross-Task Transfer Learning in Speech ProcessingCode0
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR—0
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts—0
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks—0
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models—0
Multi-Talker MVDR Beamforming Based on Extended Complex Gaussian Mixture Model—0
Transformer ASR with Contextual Block Processing—0
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition—0
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition—0
VAIS ASR: Building a conversational speech recognition system using language model combination—0
Query-by-example on-device keyword spotting—0
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems—0
One-To-Many Multilingual End-to-end Speech Translation—0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning—0
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions—0
Modeling Confidence in Sequence-to-Sequence Models—0
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System—0
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition—0
Multilingual End-to-End Speech Translation—0
使用生成對抗網路於強健式自動語音辨識的應用(Exploiting Generative Adversarial Network for Robustness Automatic Speech Recognition)—0
End-to-End Code-Switching ASR for Low-Resourced Language Pairs—0
Improving RNN Transducer Modeling for End-to-End Speech RecognitionCode0
Improved Training Techniques for Online Neural Machine Translation—0
Generating Robust Audio Adversarial Examples using Iterative Proportional Clipping—0
Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training—0
Understanding Semantics from Speech Through Pre-training—0
Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR—0
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences—0
Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models—0
Integrating Source-channel and Attention-based Sequence-to-sequence Models for Speech Recognition—0
NeMo: a toolkit for building AI applications using Neural Modules—0
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models—0
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade—0
A Comparative Study on Transformer vs RNN in Speech ApplicationsCode0
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model—0
Neural Network-Based Modeling of Phonetic Durations—0
Towards Accurate Text Verbalization for ASR Based on Audio Alignment—0
Semantic Language Model for Tunisian Dialect—0
Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English—0
Human-Informed Speakers and Interpreters Analysis in the WAW Corpus and an Automatic Method for Calculating Interpreters' D\'ecalage—0
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