India Speech Analysis

About India Speech Analysis

India has many spoken languages. This app uses your speech patterns, speaking styles, dialects, accents and phrasings of speech to determine which languages you are speaking in India. By just 1 minute of the speech, we can determine the background and origin of that person. Speech Recognition Technology and Statistics are used in the process of speech analysis.

This app can detect Urdu, Hindi, Tamil,　Bangla, Kannada, Marathi, Gujarati, Telugu and Malayalam.

Applications of this app
Sales: It is useful that you know the background of the customers, so you can apply different sales techniques and products to different customers from different regions or countries. It will be useful for sales and marketing. As the purchasing power, consumer demand and culture of populations from different regions and countries are so different, it will be valuable to gather this information.

Customer service: Offering different levels of services to speakers of different languages, regions and countries. Helping businesses and consumers save time and money to resolution for consumer issues and identify common call patterns and issues.

Security: Customized Security protocols are an increasing priority.

Instructions
1. select the duration
2. tap on the mic button and speak for the selected duration
3. try to speak evenly without too much uneven silence

Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers with the main benefit of searchability. It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. Most recently, the field has benefited from advances in deep learning, big data, AI and machine learning.

Algorithms used to recognize speech
-Natural language processing (NLP):
-Hidden markov models (HMM):
-Neural Networks and Deep Neural Networks,
-PLP features:
-Viterbi search:
-Discrimination training:
-WFST framework:
-Active Learning:
-N-grams: This is the simplest type of language model (LM)
-Speaker Diarization (SD): Speaker diarization algorithms identify and segment speech by speaker identity. This helps programs better distinguish individuals in a conversation and is frequently applied at call centers distinguishing customers and sales agents.

Disclaimer: We do our best to test and make this app accurate. Due to external factors, the speech analysis results may not always be correct.

For unlimited usage of this app, please download the Pro version from:
https://play.google.com/store/apps/details?id=com.gorikijou.indiaspeechanalysispro


Important Warning !!
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Regardless whether you have downloaded this app or not,
You must not:
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By downloading or using this app we assume you accept all the terms and conditions as stated in https://gorikijou.web.app/IndiaSpeechAnalysis/TC.html

Do not download or use this app if you do not agree to take all of the terms and conditions stated.

MADE IN JAPAN, GO RIKIJOU LTD.
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