Hybrid autoregressive transducer (hat)
E Variani, D Rybach, C Allauzen… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
This paper proposes and evaluates the hybrid autoregressive transducer (HAT) model, a
time-synchronous encoder-decoder model that preserves the modularity of conventional …
time-synchronous encoder-decoder model that preserves the modularity of conventional …
A unified framework for multilingual speech recognition in air traffic control systems
This work focuses on robust speech recognition in air traffic control (ATC) by designing a
novel processing paradigm to integrate multilingual speech recognition into a single …
novel processing paradigm to integrate multilingual speech recognition into a single …
An automatic assessment system for Alzheimer's disease based on speech using feature sequence generator and recurrent neural network
Alzheimer disease and other dementias have become the 7th cause of death worldwide.
Still lacking a cure, an early detection of the disease in order to provide the best intervention …
Still lacking a cure, an early detection of the disease in order to provide the best intervention …
DECN: Dialogical emotion correction network for conversational emotion recognition
Emotion recognition in conversation (ERC) is an important research topic in artificial
intelligence. Different from the emotion estimation in individual utterances, ERC requires …
intelligence. Different from the emotion estimation in individual utterances, ERC requires …
Mispronunciation detection and diagnosis with articulatory-level feedback generation for non-native arabic speech
M Algabri, H Mathkour, M Alsulaiman, MA Bencherif - Mathematics, 2022 - mdpi.com
A high-performance versatile computer-assisted pronunciation training (CAPT) system that
provides the learner immediate feedback as to whether their pronunciation is correct is very …
provides the learner immediate feedback as to whether their pronunciation is correct is very …
Hierarchical multitask learning with ctc
R Sanabria, F Metze - 2018 IEEE Spoken Language …, 2018 - ieeexplore.ieee.org
In Automatic Speech Recognition, it is still challenging to learn useful intermediate
representations when using high-level (or abstract) target units such as words. For that …
representations when using high-level (or abstract) target units such as words. For that …
Dialog-context aware end-to-end speech recognition
Existing speech recognition systems are typically built at the sentence level, although it is
known that dialog context, eg higher-level knowledge that spans across sentences or …
known that dialog context, eg higher-level knowledge that spans across sentences or …
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems
In this paper, a multilingual end-to-end framework, called ATCSpeechNet, is proposed to
tackle the issue of translating communication speech into human-readable text in air traffic …
tackle the issue of translating communication speech into human-readable text in air traffic …
[PDF][PDF] Investigation of Transformer Based Spelling Correction Model for CTC-Based End-to-End Mandarin Speech Recognition.
Abstract Connectionist Temporal Classification (CTC) based end-to-end speech recognition
system usually need to incorporate an external language model by using WFST-based …
system usually need to incorporate an external language model by using WFST-based …
[HTML][HTML] Late multimodal fusion for image and audio music transcription
Music transcription, which deals with the conversion of music sources into a structured
digital format, is a key problem for Music Information Retrieval (MIR). When addressing this …
digital format, is a key problem for Music Information Retrieval (MIR). When addressing this …