Design of Voice to Text Conversion and Management Program Based on Google Cloud Speech API

Choi, Jungyoon; Gill, Haeyoung; Ou, Soobin; Song, Yoojeong; Lee, Jongwoo

doi:10.1109/csci46756.2018.00286

Cited by 11 publications

(1 citation statement)

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“…It can process unto 1 minute of speech audio data sent in a synchronous request. Once the processing and recognition of the audio data is over it sends back a response (Choi, Gill, Ou, Song, & Lee, 2018).…”

mentioning

confidence: 99%

Preserving Linguistic Heritage for Generations to Come!

Appannagari

Chittineni

Jetty

et al. 2020

DiPP

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Speech to Text is the ability to convert spoken word to text. There are many speech to text conversion applications available for different languages. Tamil is an ancient classical language which is vastly spoken in southern parts of India, Sri Lanka, Malaysia, and Singapore. The speech to text application is designed from an indigenous perspective to enable the native speakers to preserve their linguistic heritage. The application was developed using agile methodology and the testing of the application suggested that the existing API do not support in the notion of preserving the language in its original form.

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mentioning

confidence: 99%

Preserving Linguistic Heritage for Generations to Come!

Appannagari

Chittineni

Jetty

et al. 2020

DiPP

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Visual Sentiment Analysis: An Analysis of Emotions in Video and Audio

Deshmukh,

Amati,

Bhamare

et al. 2023

Lecture Notes in Networks and Systems

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Mobile robot: automatic speech recognition application for automation and STEM education

Tran

Truong²,

2023

Soft Comput

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Nowadays, Robots are widely applied in life as well as industrial production, medicine, rescue, learning and entertainment. There are many types of robots using different modern technologies that are divided into groups such as Robot Manipulator, Movement Robot, Biomimetic robot, each type is applied according to its own role. Robots are also applied in training, especially in STEM training. In this paper, we propose technical models to design Mobile Robot combined with Android OS Tablet with user interaction screen, voice control model and AIDL IPC interactive model for remote control. Mobile Robot's motion as well as giving a layered UML Model for motion handling towards open source. We research the Mobile Robot using RockChip AI Processor RK3399Pro, which focuses on understanding the structure and operating mechanism of the AI Processor that RockChip Robot uses, along with researching Android with IPC AIDL architecture and with Automatic Voice Recognition technology to control Robot to turn left, turn right, move forward, backward, jump or stop motion by voice with three languages: Korean, English and Vietnamese. From there, it will serve as a foundation for the research and development of a system to support students in learning by interacting with robots through voice in the form of gamification of the curriculum, especially for extensive research on training programs, created in the STEM field.

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Design of Voice to Text Conversion and Management Program Based on Google Cloud Speech API

Cited by 11 publications

References 1 publication

Preserving Linguistic Heritage for Generations to Come!

Preserving Linguistic Heritage for Generations to Come!

Visual Sentiment Analysis: An Analysis of Emotions in Video and Audio

Mobile robot: automatic speech recognition application for automation and STEM education

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