What is Speech to Text – Introduction

What is speech to text? we will be looking at some of the good, bad, and ugly truth of the speech to text engine technology.
what is speech to text

Speech to text software is the advanced technological solution to the transcription services – making it easier and cheaper than even to transcript just like you have always wanted. But, is technology really that efficient? And how the technology behind speech to text work, anyway?

Bonus Read: How to Turn on Speech to Text Android on Smartphone

Well, to put it simply, the speech to text software or what is also referred to as speech recognition technology is computer programs that leverage linguistic algorithms, along with the AI and machine learning technologies to be able to listen, understand, and responds to the auditory signals by converting them to words using Unicode characters. And to put it for a normal un-technical person, the speech to text software or voice recognition technology simply “listens” to your voice and give you the editable transcript of it.

Over the years the technology has greatly improved in its accuracy, as well as, features. Today, various tech companies have launched their dedicated version of speech recognition software. Most of these speech to text software works online, and quite a few of them is based on Google’s speech to text technology. The service is packaged by companies based on the pricing factor, as well as, some unique features that make them attractive to targeted clients. In general, the technology costs around £0.10 for per minute transcription of recorded voice, to make things even more interesting is that some software offers free services; but you can only guess their accuracy for that matter. In terms of accuracy, the most advanced and well-reputed speech to text software available in the market today are able to give 90 to 95% accuracy, however, the accuracy of the transcript text will depend on the “cleanliness” and “quality” of the recording, which undoubtedly is one of the most crucial aspects when you are looking for accurate transcription service from any voice recognition software.

Now, in this blog, we will be looking at some of the best speech to text software available in the market, as well as, discuss some of the good, bad, and ugly truths of the technology. So, without wasting time, let’s get started.

What is Converse Smartly Speech to Text Software?

So, our first choice of voice recognition software is Converse Smartly® which has quickly gained fame and popularity amongst businesses and individuals alike for its superior features and high accuracy. The software is targeted towards organizations and individuals alike; equipped with features that make it easier and faster for users to leverage transcription service with higher accuracy. The best part about Converse Smartly® is the fact that it is able to detect multiple voices, which makes it an ideal choice for team meetings, conferences, and seminars.

What makes Converse Smartly® a well-established speech to text software is the advanced natural langugaes processing technology that goes behind it. Developed by experts at Folio3, the software packs strong linguistic, machine learning and deep learning algorithms for greater accuracy, coupled with high-utility tools and features to make it more efficient and productive for users.

By integrated intelligent machine learning algorithms, Converse Smartly® is able to improve its efficiency and accuracy over time, by learning and adapting to the environment. The software is able to automatically identify multiple voices and perform sentiment analysis, as well as, highlight themes and objectives. Some of the key features of the software include:

– Speech Analysis

– Text Analysis

– Multiple Speaker Detection

– Live Audio Transcription

Some of the other notable features included in Converse Smartly® speech to text converter includes:

– Automatic summary generation

– Word cloud generation from input speech and text

– Perform sentiment analysis

– Identification of key entities and themes

– Multiple language support (English, Spanish, German, French)

– Technologies used: Google Speech and IBM Watson

What is Speech to Text Accommodation?

Speed to text accommodation referred to special cases where students are allowed to use the speech to text software for testing and other purposes. Many schools and testing systems allow speech to text accommodation for students with special needs, or as part of their IEP plans.

What are the Pros and Cons of Speech to Text?

Ok, now that we are done with some of the leading voice recognition technologies available in the market, it’s time to assess the good, bad, and the ugly of the technology. So, let’s just get started straight away.

The Good

The most obvious and significant benefit of speech to text software is the speed and affordability of the technology. As said above, the technology has matured greatly over the years and today offers over 90% accuracy for transcription services (based on the quality of the voice). Also, technology can be used for real-time transcription services and has the capacity to detect multiple voices, which makes it ideal for conferences, seminars, team meetings, and other business needs.

Also, the technology isn’t just incredibly fast and responsive, it’s also quite affordable for the liking of most businesses. The cost may vary from software to software and the choice of package, however, it is generally within affordability ranging from $0.5 to $0.9 per minute for automatic conversion.

Speech to Text Software: The Bad

Perhaps, the biggest limitation of the technology (yet) is that in most cases it offers an only verbatim text only. This means that without the presence of humans, the transcribed text may end up with a low readability score. For instance, during speeches, we frequently pause or make different noises like “erm” and other words. And since the text produced by the technology is verbatim it will include every noise or word it would hear. Thereby, often there is a need for a human transcriber to reread the text and clean any unwanted words to increase the readability of the text.

What is the Best Speech to Text Case Studies?

3Play Media integrated voice recognition technology to improve its captioning service 

Captioning isn’t the easiest task for video content creators. However, now, 3Play has partnered with a leading speech to text software solution providers to improve the accuracy of captioning for its audience for its broadcast content.

Full Fact partnered with speech recognition technology provider for independent fact-checking

False news and fake content have become a menace for the media industry, which struggles to present credible and authentic content to the public. Now, Full Fact has partnered with a voice recognition technology provider to help news agencies perform fast and accurate fact-checking of news.

Transcriptive partnered with speech to the text service provider to create more efficient video workflows

There is an ever-increasing demand for video, broadcast, and films. This means a greater need for streamlined and efficient video production workflows. To ensure fast and seamless addition of subtitles and metadata into the video content, Transcriptive have integrated speech to text technology to develop an efficient and productive workflow.

What is the speech to text technology called?

Speech to tech technology is referred by various names including dictation technology, voice to text technology, and speech recognition technology.

How do I speak to text in a word for free?

There are various software that offers free transcription services for users. While these free tools may be great for individual needs, the accuracy issues with these tools don’t make them the perfect fit for commercial usage.

How do I improve my voice to text on mobile?

The most recommended tip to improve the voice to text in mobile is the use of high-quality headset microphones, which keep the microphone at a static position directly in front of the mouth.

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NLP VS LLM – A Comprehensive Guide

Generative AI vs. Large Language Models (LLMs)

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