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Found 7 papers, 3 papers with code
Unified Modeling of Multi-Domain Multi-Device ASR Systems
Modern Automatic Speech Recognition (ASR) systems often use a portfolio of domain-specific models in order to get high accuracy for distinct user utterance types across different devices.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Improving RNN-T ASR Performance with Date-Time and Location Awareness
In this paper, we explore the benefits of incorporating context into a Recurrent Neural Network (RNN-T) based Automatic Speech Recognition (ASR) model to improve the speech recognition for virtual assistants.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Timestamping Documents and Beliefs
Thus document dating is a challenging problem which requires inference over the temporal structure of the document alongside the contextual information of the document.
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End
On the other hand, a streaming system using per-frame intent posteriors as extra inputs for the RNN-T ASR system yields a 3. 33% relative WERR.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Dating Documents using Graph Convolution Networks
While existing approaches for these tasks assume accurate knowledge of the document date, this is not always available, especially for arbitrary documents from the Web.
Ranked #1 on
Document Dating
on APW
AD3: Attentive Deep Document Dater
Knowledge of the creation date of documents facilitates several tasks such as summarization, event extraction, temporally focused information extraction etc.
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Knowledge Graph (KG) embedding has emerged as an active area of research resulting in the development of several KG embedding methods.
