Russian or Ukrainian Pro

Speech Analysis of Speakers to determine where they are Russian or Ukrainian

This app uses your speech patterns, speaking styles, dialects, accents and phrasings of languages to determine where are you come from. By just 30 seconds 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.

Countries Detected: Russia or Ukraine

Applications of this app

Nowadays in the TV, interviewees speak Russian or Ukrainian often. But you may not know which language are they speaking and are they from Russia or Ukraine if you cannot speak Russian or Ukrainian.

This app can detect whether they are speaking Russian or Ukrainian by 30 seconds of their speeches.

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 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 !!

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