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Found 9 papers, 2 papers with code
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs
Personalization of automatic speech recognition (ASR) models is a widely studied topic because of its many practical applications.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Generalized zero-shot audio-to-intent classification
Our multimodal training approach improves the accuracy of zero-shot intent classification on unseen intents of SLURP by 2. 75% and 18. 2% for the SLURP and internal goal-oriented dialog datasets, respectively, compared to audio-only training.
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages
A recent approach explores Contextual Adapters, wherein an attention-based biasing model for CTC is used to improve the recognition of custom entities.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation
Internal language model estimation (ILME) has been proposed to mitigate this bias for autoregressive models such as attention-based encoder-decoder and RNN-T.
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems
Our personalized feedback can pinpoint correct and incorrect or missing phrases in student answers as well as guide them towards correct answer by asking a question in natural language.
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval
We run UDA experiments on question generation and passage retrieval from the \textit{Natural Questions} domain to machine learning and biomedical domains.
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs
Social media based micro-blogging sites like Twitter have become a common source of real-time information (impacting organizations and their strategies, and are used for expressing emotions and opinions.
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets
This paper describes our participation in SemEval 2018 Task 3 on Irony Detection in Tweets.
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets
Intensity is a real valued score, between 0 and 1.
