Deep fusion framework for speech command recognition using acoustic and linguistic features

Mehra, Sunakshi; Susan, Seba

doi:10.1007/s11042-023-15118-1

Cited by 5 publications

(1 citation statement)

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“…The speech synthesis module consists of two main parts: Automatic Speech Recognition (ASR) and text-tospeech (TTS). Mehra et and Susan, S proposed a new deep bidirectional long short-term memory model based on selfattention (SA-deep BiLSTM) [21]. By integrating the posterior probability of the SA-deep BiLSTM model for a single modality, this model achieved 80.10% accuracy for 98 word categories in Liu and proposed a new method to search for faster architectures using neural architecture search (NAS) [22].…”

Section: Blatest Research Results In Virtual Human Technology 1) Spee...mentioning

confidence: 99%

Virtual Human: A Comprehensive Survey on Academic and Applications

Cui,

Liu

2023

IEEE Access

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As a creative method for virtual human individuals based on multiple fusion technologies such as artificial intelligence, computer graphics, and speech synthesis, virtual human technology has developed rapidly since its birth, and continuous discussions and studies have been conducted in both academia and industry. Starting from the film and television industries, the cross-disciplinary application of virtual human has been continuously recognized and applied in fields such as media, games, and finance. Although virtual human has achieved sufficient development and innovation, it faces many challenges such as emotion recognition, privacy, and security, as well as the uncanny valley effect. This article starts with the development history of virtual human and analyzes the current academic research status and application scenarios in combination with the characteristics, technical architecture, and application of virtual human technology. At the same time, this article sorts out seven mainstream application scenarios of virtual human and analyzes their main advantages and possible future challenges. This article provides a valuable reference for subsequent related research by exploring development trends, application fields, and future research trends in virtual human.

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Section: Blatest Research Results In Virtual Human Technology 1) Spee...mentioning

confidence: 99%