Spoken Language Interfaces for Embedded Applications

Burileanu, Dragoş

doi:10.1007/978-0-387-68439-0_5

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…These signals can be used in automatic speech recognition (ASR) systems which convert speech into text. In conventional ASR systems, acoustic input is received through a microphone and analyzed by some model or algorithm, followed by the generation of output in the form of a text [ 12 , 13 ]. These technologies can be found in a large variety of applications from virtual assistants installed in mobile devices to hands-free computing [ 14 ].…”

Section: Biosignal-based Speech Recognitionmentioning

confidence: 99%

Biosignal Sensors and Deep Learning-Based Speech Recognition: A Review

Lee

Seong

Ozlu

et al. 2021

Sensors

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Voice is one of the essential mechanisms for communicating and expressing one’s intentions as a human being. There are several causes of voice inability, including disease, accident, vocal abuse, medical surgery, ageing, and environmental pollution, and the risk of voice loss continues to increase. Novel approaches should have been developed for speech recognition and production because that would seriously undermine the quality of life and sometimes leads to isolation from society. In this review, we survey mouth interface technologies which are mouth-mounted devices for speech recognition, production, and volitional control, and the corresponding research to develop artificial mouth technologies based on various sensors, including electromyography (EMG), electroencephalography (EEG), electropalatography (EPG), electromagnetic articulography (EMA), permanent magnet articulography (PMA), gyros, images and 3-axial magnetic sensors, especially with deep learning techniques. We especially research various deep learning technologies related to voice recognition, including visual speech recognition, silent speech interface, and analyze its flow, and systematize them into a taxonomy. Finally, we discuss methods to solve the communication problems of people with disabilities in speaking and future research with respect to deep learning components.

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Section: Biosignal-based Speech Recognitionmentioning

confidence: 99%

Biosignal Sensors and Deep Learning-Based Speech Recognition: A Review

Lee

Seong

Ozlu

et al. 2021

Sensors

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“…RSS allows users to avoid manually inspecting all of the websites they are interested in, and instead subscribe to websites such that all new content is pushed onto their browsers when it becomes available [1]. Due to the significant advances in speech processing brought in the last decade, lots of speech-enabled applications became available [2,3,4,5]. If we are able to embed the speech synthesis technoloy in the smartphone, using the smartphone people will get information by listening instead of reading which will bring users more flexible and convenient.…”

Section: Introductionmentioning

confidence: 99%

Developing an Audio News System Based on Android

Zhong

Shen

2013

AMM

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With the development of the technology of mobile communication, smartphones have become one of the most popular ways that people get information. However some restrictions such as the screen size, ambient brightness etc. still cause some troubles to read news by smartphones. We based on Android designed an audio news software system by means of the speech synthesis technology which can afford pleasure to listen to information. Using the Andriod technology we developed the smartphone client software which can get the latest information in RSS channels by communicating with the server. Also, it can dynamically manage the RSS channels subscribed by yourself. In the design, we used the techniques of the Android UI framework and component which made the smartphone interface succinct and easy. In order to improve data store efficiency we implemented the data modification and store by transforming between the Json format and the Java object. Based on the iFLY mobile speech platform we developed the audio news player. The function of information automatic acquisition in the server made it possible that smartphones can get the latest information of the subscription channels.

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