Speech Analysis of European Speakers to detect spoken language and country
This app uses your speech patterns, speaking styles, dialects, accents and phrasings of European Languages to determine the spoken language and where are you come from. By just 3 minutes 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.
European Languages Detected:
German, English, French, Spanish, Italian, Greek, Turkish, Russian, Polish, Dutch, Czech, Armenian, Portuguese, Danish, Finnish, Romanian, Swedish, Basque, Lithuanian, Catalan, Galician, Icelandic, Hungary, Norwegian Bokmal, Slovak, Estonian, Latvian, Slovenian, Bulgarian, Serbian, Ukrainian, Georgian
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. Even though they speak European Languages, but whether they are native or non-native from other countries 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 European Languages speakers of different 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.
Important Warning !!
=================
Regardless whether you have downloaded this app or not,
You must not:
- Download this app outside of Google Play as it is illegal and viruses may be added by 3rd party. We are not responsible for the viruses added by 3rd party if you download from 3rd party.
- Copy, Follow or Modify any parts of this App Ideas
- Republish materials from this app
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The App icon is not included in the definition of materials and contents of this app.
Actions will be taken for any infringement of intellectual property rights. We will report to Google and Apple to remove your apps and contents.
By downloading or using this app we assume you accept all the terms and conditions as stated in https://gorikijou.web.app/EuropeanSpeechAnalysisPro/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.
日本製、GO RIKIJOU合同会社
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