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Found 5 papers, 0 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
Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models
Semi-supervised learning (SSL) is an active area of research which aims to utilize unlabelled data in order to improve the accuracy of speech recognition systems.
Streaming End-to-End Bilingual ASR Systems with Joint Language Identification
Experiments show that for English-Spanish, the bilingual joint ASR-LID architecture matches monolingual ASR and acoustic-only LID accuracies.
Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition
Machine translation (MT) offers a systematic way of incorporating collections from mature, resource-rich conversational systems that may be available for a different language.
