Speech recognition software also referred to as voice recognition software, allows computers to understand human speech and convert it to text. Speech recognition software can also be used as power personal virtual assistants. Int... Read Buyer’s Guide
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Brand: CallHippo
CallHippo provides a set of features for business users to increase productivity and perform core functions accurately. Depending on the size and requireme...
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CallHippo
₹559 /Month
Brand: TranscribeMe
TranscribeMe is an AI-powered transcription platform that enables users to quickly and accurately transcribe audio and video files into text. TranscribeMe...
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TranscribeMe
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Brand: Microsoft
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Microsoft Azure Speech Services can easily add the real-time speech-to-text conversion to your applications. It allows tailoring speech recognition models...
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Microsoft Azure Speech Services
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Brand: Speechmatics
Speechmatic is speech to text recognition software powered by machine learning with high accuracy. Speechmatic supports talk to text in 74 languages. The...
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Speechmatics
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Brand: Microsoft
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Speaker Recognition is an all-in-one Speech Recognition Software designed to serve Startups, SMBs, SMEs and Agencies. This Web-Based Speech Recognition Sof...
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Speaker Recognition
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Brand: Descript
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Descript Speech Recognition Software offers accurate and efficient transcription capabilities and powerful audio editing tools, empowering users to effortl...
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Descript
$12
Brand: Amazon
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Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning fu...
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Amazon Lex
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Brand: Nuance communications
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Put your voice to work to create reports, emails, forms and more with the all-new Dragon Professional Individual, v15. With a next-generation speech engine...
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Nuance Dragon Professional Individual
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Brand: Dolbey
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Fusion Narrate is a cloud-based speech recognition software that has been specially designed for the healthcare industry and is compatible with medical so...
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Fusion Narrate
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Brand: Trint
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Trint is an all-in-one Speech Recognition Software designed to serve Startups, SMBs, SMEs and Agencies. This Web-Based Speech Recognition Software has a si...
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Trint
₹4,980
Last Updated on : 02 Oct, 2023
Speech Recognition Software Comparison
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Here are some of the best speech recognition software programs: Dragon Professional Google Now Google Docs Voice Typing Siri Amazon Lex Microsoft Bing Speech API Cortana
Google Docs Voice Typing is one of the best speech recognition software for students with disabilities.
Here are some of the most popular speech recognition software programs for medical transcription: NextGen Healthcare EHR MModal Fluency for Transcription Nuance Dragon Medical One Amazon Transcribe Medical Dolbey Fusion Narrate
An online speech to text converter detects and converts speech to text. In order to do so, the program takes a video or audio file and analyzes it before generating a transcript.
Found our list of Speech Recognition Software helpful? We’re here to help you make the right choice and automate your business processes. Let’s discover some of the essential factors that you must consider to make a smarter decision!
Speech recognition software, also referred to as voice recognition software, allows computers to understand human speech and convert it to text. Speech recognition software can also be used as power personal virtual assistants, allowing users to issue voice commands that lead to the execution of certain activities. Interactive voice response (IVR) systems use speech recognition software to route incoming calls to the correct department depending on the consumers’ voice instructions.
Voice recognition software ensures that an individual user's voice is recognized and identified. By studying the patterns and sequences of a person's voice, voice recognition technology is able to verify the speaker and so identify the unique person. This method ensures security because all inputs will be authorized entirely by the specific user’s voice and not by anybody else.
In many cases, NLP (natural language processing) and deep learning neural networks are used to enhance speech recognition. NLP is a technique for computers to analyze and derive meaning from human language in a clever way.
Analog audio must be converted into digital signals by voice recognition software. This process is known as analog-to-digital conversion. The device needs to have a digital library of vocabulary, words, or syllables, which shall enable it to compare this data and decode the right signal.
The terms "speech recognition" and "voice recognition" are not interchangeable. Only spoken words are recognized by speech recognition, which focuses on verbal to text translation. On the other hand, voice recognition software recognizes the voice of the speaker.
Speech recognition software is used by every virtual assistant embedded into a smartphone to listen to a user's voice commands. Customers dialing into a helpline are frequently greeted by chatbot software that uses voice recognition to direct them to the appropriate employee or department. But that’s not it.
Here are the many other uses of speech recognition software:
Here are the various industries that use speech recognition system software:
Call tracking software transcribes the audio of telephone conversations by decoding the words spoken between the agent and the customer. Certain software programs use transcriptions to automatically mark calls as leads or not leads. Such technology also tags calls based on keywords said by the agent or the customer. This entire process is a part of Conversation Intelligence.
Different Variables in Speech Recognition Software
When it comes to speech recognition, while the transcription may not be perfect (some words may be misspelled), the user understands the general meaning of speech chunk that has been transcribed. That means the text isn't merely a jumble of words, but rather a coherent concept deduced from it.
There are other deviations that should be considered. Not every person’s accent is identical. Such accent fluctuations might lead the speech recognition software to get certain portions of conversations wrong. Variables such as how a speaker pronounces, mumbling, pace of the speech, as well as fluctuations in voice volume can challenge speech recognition technology.
The majority of voice recognition technologies these days are compatible with machine learning platforms. Consequently, as a user continues to use the technology, the software continuously learns and adjusts to that person's speech patterns and variations. The advancement in technology is likely to minimize the chances of errors that the current types of speech recognition devices are likely to commit.
Here are the most common benefits of speech recognition software programs:
Before choosing your speech recognition software, make sure that it has the following features:
Here are a handful of factors to consider before choosing the best speech recognition software:
Author: Kalpana Arya
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