Speech recognition results for voice-controlled assistive applications

Caranica, Alexandru; Cucu, Horia; Burileanu, Corneliu; Portet, François; Vacher, Michel

doi:10.1109/sped.2017.7990438

Cited by 18 publications

(10 citation statements)

References 18 publications

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“…In 2017, Caranica A. [5], centres around a lot of tests in structure a progression of acoustic and punctuation models for Romanian language, to be utilized in far off discourse acknowledgment situations, for voice driven discourse applications in keen homes or structures, utilizing recently obtained discourse databases in Romanian language, all things considered, conditions, by our exploration gathering. In 2017, Dempsey P. [6], gives an article which explains about few analysts and there thinking , who were expect the voice-first market to be one of the buyer gadgets stars of 2017.…”

Section: Literature Surveymentioning

confidence: 99%

Smart Voice Assistant for IOT

Desai¹

2019

IJRASET

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IOT has gained the major interest of people in the present days as the innovative achievements have occurred in this area. This results the growth in numbers of IOT devices installed which give rise to the challenge of data acquisition, management and inter-communication among these IOT devices. To make over this, we propose cloud-based IOT platforms which focus on bestowing the higher-priority IOT devices and also peak reduction through solar energy by executing the device supply management algorithm along with the integration of MQTT which is the avant-grade IOT protocol.

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Section: Literature Surveymentioning

confidence: 99%

Smart Voice Assistant for IOT

Desai¹

2019

IJRASET

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“…From the view of Alexandru Caranica [3], controlling a "smart home" consisted in setting up a series of applications and automation tools: scheduling when the air conditioning system could cool the room, turn on the lighting system at sunset, or just use one"s phone to control several TV appliances or the garage door. Recent advances in speech recognition technology have made voice-controlled smart homes attainable, and many companies are providing interfaces to make this voice control available.…”

Section: Related Workmentioning

confidence: 99%

Implementation of IoT based Intelligent Voice Controlled Laboratory using Google Assistant

Poongothai¹,

Sundar²,

Vinayak³

2018

IJCA

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In this era of digitization and automation, Internet of things (IoT) provides a platform that allows devices to be connected, sensed and controlled remotely across a network infrastructure. As an organization grows every year, new management problems and energy issues appear. Monitoring and controlling the unused devices that consume power during human absence is a major inability. In addition to this, coordinating the people participating in the daily activities of the laboratory is tedious when population of the usage of space out numbers a manageable threshold. This work targets to develop a smart laboratory system based on IoT and mobile application technologies to monitor the overall activities of the lab including energy consumption and utilization of devices, thereby providing a smart environment to the campus with enhanced security, energy efficiency and comfort. The aim is to control and monitor the things such as lights, fans, projector and air-conditioner of IoT lab in CIT campus using Google assistant or chat bot. The instigation of Google assistant not only provides a user-friendly access to the things but also makes the process interactive with its response. The use of voice commands overcomes the mundane task of switching the appliances. The status and energy consumption of the devices were viewed on a dashboard which is available in the website (www.citeceiot.in/dashboard/graph.php). From the results of implementation, it is observed that the appliances in the lab were remotely monitored and controlled thereby reducing power consumed and human energy considerably.

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“…In [12], a Raspberry Pi-based voice-controlled car using the Baidu speech recognition technology and tested with remote control interaction was presented. In [13], the interoperability of speech recognition in Romanian for voice-controlled appliances in smart buildings was explored. In [14], a voice-based unmanned aerial vehicle approach using the MFCC analysis of semantic identification was introduced.…”

Section: Introductionmentioning

confidence: 99%

Thai Voice-Controlled Analysis for Car Parking Assistance in System-on-Chip Architecture

Prongnuch

Sitjongsataporn

2020

Adv. technol. innov.

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This paper introduces an analysis of Thai speech recognition for controlled car parking assist in the system-on-chip architecture. The objective is to investigate the male and female voice command signals, including Thai and English words, issued by the native Thai users. Hardware and software co-design by the Xilinx VIVADO are designed on an ARM multicore processor and a reconfigurable system on a ZYBO board. The experiments for Thai and English word recognition are conducted by using the Mel-frequency cepstral coefficient approach and presented in the form of spectrograms. The comparison of a voice command via Bluetooth and a reference command stored on an SD card and the ZYBO embedded board on a miniature electric vehicle is verified with the Pearson’s correlation coefficient (PCC). The experimental results show the accuracies of the received Thai/English, male/female, and indoor/outdoor voice commands as compared with the reference voice commands in the noisy surroundings. Hence, our system can support Thai/English and male/female voice commands to perform a set of actions for maneuvering a car by the PCC.

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Speech recognition results for voice-controlled assistive applications

Cited by 18 publications

References 18 publications

Smart Voice Assistant for IOT

Smart Voice Assistant for IOT

Implementation of IoT based Intelligent Voice Controlled Laboratory using Google Assistant

Thai Voice-Controlled Analysis for Car Parking Assistance in System-on-Chip Architecture

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