Everything you need to know about speech recognition

2021/ 20/07

Are you interested in how artificial intelligence-based speech recognition works or want to know more about the advantages or disadvantages of its usage? In our article, you can also read some useful tips on how to use AI-based speech recognition solutions on a higher level! 


How does speech recognition work?

The technology of speech recognition may not sound brand new for today’s humans, since we are all surrounded with it to certain extent, however as simple as speech recognition sounds, as complicated its working mechanism is with years of continuous development, full of  failures and successes. The deep learning and NLP (natural language processing) based technology’s substance is the analyse-filter-digitalization process: the software first analyses the human speech, then filters it and transforms it to a form the program is able to read, and finally searches for the potential meaning of the words. 

Since the software has a long "learning curve", the learning path of a speech recognition software can be compared to a child's development of speech understanding and communication. Moreover, it cannot be based on the speech of one person alone, and the software can be confused easily by external noises, which also takes time to filter and refine. There are many programes and applications based on speech recognition methods, ranging from Siri and Shazam (a music recogniser), to Google Translate or Alrite, speech translators and transcribers. 


The benefits of speech recognition technologies: 

As well as being a huge help for people with limited mobility, hearing or vision, speech transcription software can also be a significant help in the use of technology, shortening many processes at low cost and fast speed at the same time. They can also increase productivity, by replacing many hours of monotonous work, allowing more time to be spent on activities that require greater creativity and productivity. In addition, many people find spelling a challenge - and these softwares are excellent solutions to this problem. Of course, convenience is not at last importance - if we can't use our hands to write or type, these mobile app versions are always at hand. Not to mention that they are a great help for students in education as well.  


The disadvantages of NLP and deep learning based speech recognition:  

The drawbacks of speech recognition and transcription software solutions are mainly due to their imperfections, such as difficulty in recognizing accents or understanding speech errors and noisy speech. In addition, these applications cannot be used to create a focused or intelligent transcription, as these are not able to make changes in note-taking style. Even the most accurate software may fail to spell a word that its unfamiliar with and makes minor-major misunderstandings during transcription.   

All things considered, if professional work needs to be done, we will still need humans for a while to supervise these processes, although it may be only a matter of time when these AI-based solutions become so advanced that it is sufficient to use only them to do the job.


How can we get the most out of speech recognition with Alrite?

1. When dictating, a noise-free environment can help a lot for more error-free transcriptions.  

2. Achieve even greater accuracy and consistency when dictating with the real-time transcription feature. 

3. If you want to connect your speech recognition-transcription software to a business application for greater efficiency, you can easily do so via the Alrite REST API. This can be useful, for example, in cases where we want to retrieve customer complaints with a negative tone more efficiently than a customer support system. In addition to text-based searches, we can also use colour coding based on sentiment analysis.  

4. For greater accuracy, especially if the audio and video materials we want to transcribe have a unique vocabulary, we have the option to optimise and train Alrite by examining our own audio materials.  

5. If you are working with confidential data and do not want it to be passed on to a third party, companies have the option of using an on-premises server to keep their data as secure as possible. 


For more information about the additional services of our speech recognition solution, please visit the Alrite website.


Sources Summa LinguageTake Note

Try our AI-based speech recognition application for free!

Speed ​​up your work with artificial intelligence! With the help of Alrite, you can easily create Hungarian transcriptions and video captions for dictated or previously recorded audio and video materials. The application offers the ability to store files, edit and share transcriptions and captions, and perform advanced search options.

More information