Alex Waibel

Latest

• Findings of the IWSLT 2023 Evaluation Campaign
• Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
• Self-Attentional Models for Lattice Inputs
• Fluent Translations from Disfluent Speech in End-to-End Speech Translation
• Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
• KIT's IWSLT 2018 SLT Translation System
• Open Source Toolkit for Speech to Text Translation
• Low-Latency Neural Speech Translation
• Self-Attentional Acoustic Models
• KIT's Multilingual Neural Machine Translation Systems for IWSLT 2017
• Toward Robust Neural Machine Translation for Noisy Input Sequences
• Transcribing Against Time
• Neural Lattice-to-Sequence Models for Uncertain Inputs
• Comparison of Decoding Strategies for CTC Acoustic Models
• Lightly Supervised Quality Estimation
• Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016
• Audio Segmentation for Robust Real-Time Speech Recognition Based on Neural Networks
• The 2016 KIT IWSLT Speech-to-Text Systems for English and German
• Dynamic Transcription for Low-latency Speech Translation
• Lecture Translator - Speech translation framework for simultaneous lecture translation
• Optimizing Computer-Assisted Transcription Quality with Iterative User Interfaces
• The 2015 KIT IWSLT Speech-to-Text Systems for English and German
• On-the-Fly User Modeling for Cost-Sensitive Correction of Speech Transcripts
• SESLA Transcriber: A Speech Transcription Tool That Adapts To Your Skill And Time Budget
• The 2014 KIT IWSLT Speech-to-Text Systems for English , German and Italian
• Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff
• The 2013 KIT IWSLT Speech-to-Text Systems for German and English
• Efficient Speech Transcription Through Respeaking
• The 2012 KIT and KIT-NAIST English ASR Systems for the IWSLT Evaluation
• The KIT-NAIST (Contrastive) English ASR Systems for the IWSLT Evaluation