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Speech-to-Text

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TitleStatusHype
An Experiment on Speech-to-Text Translation Systems for Manipuri to English on Low Resource Setting—0
Scribosermo: Fast Speech-to-Text models for German and other LanguagesCode0
Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems—0
Comparison of SVD and factorized TDNN approaches for speech to text—0
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation—0
Automated Testing of AI Models—0
Challenges and Opportunities of Speech Recognition for Bengali Language—0
Audio Interval Retrieval using Convolutional Neural Networks—0
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition—0
Infusing Future Information into Monotonic Attention Through Language Models—0
With One Voice: Composing a Travel Voice Assistant from Re-purposed Models—0
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models—0
Corpus Creation and Evaluation for Speech-to-Text and Speech Translation—0
BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text—0
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task—0
The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021—0
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling—0
Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR—0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS—0
On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation—0
Findings of the Second Workshop on Automatic Simultaneous Translation—0
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering—0
What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice—0
A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect—0
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models—0
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