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[HTML][HTML] Deep learning for intelligent human–computer interaction
In recent years, gesture recognition and speech recognition, as important input methods in
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
Automatic speech recognition: Systematic literature review
A huge amount of research has been done in the field of speech signal processing in recent
years. In particular, there has been increasing interest in the automatic speech recognition …
years. In particular, there has been increasing interest in the automatic speech recognition …
Transformer-based online CTC/attention end-to-end speech recognition architecture
Recently, Transformer has gained success in automatic speech recognition (ASR) field.
However, it is challenging to deploy a Transformer-based end-to-end (E2E) model for online …
However, it is challenging to deploy a Transformer-based end-to-end (E2E) model for online …
Open source magicdata-ramc: A rich annotated mandarin conversational (ramc) speech dataset
CCE-Net: Causal Convolution Embedding Network for Streaming Automatic Speech Recognition
Streaming Automatic Speech Recognition (ASR) has gained significant attention across
various application scenarios, including video conferencing, live sports events, and …
various application scenarios, including video conferencing, live sports events, and …
[HTML][HTML] Combining hybrid DNN-HMM ASR systems with attention-based models using lattice rescoring
The traditional hybrid deep neural network (DNN)–hidden Markov model (HMM) system and
attention-based encoder–decoder (AED) model are both commonly used automatic speech …
attention-based encoder–decoder (AED) model are both commonly used automatic speech …
ETEH: Unified attention-based end-to-end ASR and KWS architecture
Even though attention-based end-to-end (E2E) automatic speech recognition (ASR) models
have been yielding state-of-the-art recognition accuracy, they still fall behind many of the …
have been yielding state-of-the-art recognition accuracy, they still fall behind many of the …
Alleviating asr long-tailed problem by decoupling the learning of representation and classification
Recently, we have witnessed excellent improvement of end-to-end (E2E) automatic speech
recognition (ASR). However, how to tackle the long-tailed data distribution problem while …
recognition (ASR). However, how to tackle the long-tailed data distribution problem while …
A comprehensive review of recent automatic speech summarization and keyword identification techniques
Speech has been the most popular form of human communication. A keyboard or a mouse,
on the other hand, is the most common way of entering data into a computer. It would be …
on the other hand, is the most common way of entering data into a computer. It would be …