Speech to Text, Text to Speech

Speech to Text

KSV’s Automatic Speech Recognition (ASR) solution needs only simple grammar for its processing.

It can support grammar for complex tasks such as dates, complex command lookups, etc. Our automatic speech recognition engine supports several English accents and can be localized for any language.

speech-to-text

Speech to Text

Voice analytics are the use of a voice recognition tool to analyze and record a spoken conversation. This software was first leveraged for commercial purposes in the early 2000s.

Since then, it has grown in importance with more and more companies investing in voice analytics technology. Our first solutions in this domain, centered on converting speech to text to produce a quick transcript or report on an agents’ call. However, analysis of the report was still a  time-consuming task needing manual intervensions.

speech-to-text
speech-to-text

Text To Speech

The ASR engine supports standard telephony as well as web and mobile applications. It is capable of actioning voice commands to electronic devices such as computers, tablets, smartphones or telephones with the aid of a microphone.

A key feature of KSV’s ASR engine is its use of a statistical language model to understand natural language, thus not limiting itself to mere understanding speech which matches its grammar only.

Developers integrating the engine into speech recognition systems will appreciate its ability to create advanced intuitive Natural Language Processing (NLP) interfaces boasting high linguistic intelligence quotients.

Our ASR solution supports a distributed client-server architecture for easy scaling and supporting an ever-growing list of client devices.

speech-to-text

Text To Speech

Our voice analytics solutions today has gone one step further and leverage speech to text or transcription technology which applies a language model to automatically piece together a full conversation and identify common, trending, and hot topics.

Voice analytics software brings with it an enormous set of benefits. Companies in a a wide gamut of industries including insurance, technology, financial services, and healthcare are leveraging this technology to generate intutive insights into customer wants and needs.

One business area that can really benefit from voice analytics is customer service. By using these analytics one can analyze huge volumes of customer conversation data, that are vital and perhaps overlooked earlier.

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