Speech Recognition and Artificial Intelligence

Table of Contents

In this guide, we will outline how speech recognition technology works, and the applications that remain along the path of perfecting it.

Introduction

In the world where we live today, Machine learning (ML) & Artificial Intelligence (AI) are so prevalent & helpful that most people use these technologies in their daily lives without giving them much thought. One of the major areas where these smart technologies have shown significant advancement, almost to a point where they have become equal to human abilities, is the field of speech recognition using artificial intelligence popularly known as Automatic Speech Recognition (ASR) technology. Learn more about speech recognition and artificial intelligence in this guide. 

What is speech recognition?

Speech recognition is also known as speech-to-text. A machine can identify words spoken by humans and convert them into readable text. Some speech recognition software has a limited vocabulary and only identifies words and phrases when spoken clearly. But some more sophisticated software can handle the natural speech of humans, different accents, and various languages.

Speech recognition uses a broad array of research in the field of computer science, linguistics, and computer engineering. Several text-focused programs and modern devices have speech recognition functions in them that allow for easier or hands-free use of a device.

How does speech recognition work?

The speech recognition system works on human inputs. The human inputs enable machines to react to inserted voice, text, or any other inputs. You can use speech recognition software or for businesses at home.

Some software allows users to dictate to their computers or phones so that their words are converted to text in a word processing or email document.

Applications of speech recognition

Following are a few speech recognition applications that stand out:

  1. Accessibility: Speech recognition serves as a promising tool for advancing accessibility.
  2. Security: Speech recognition provides improved security by requiring voice recognition to access specific areas.
  3. In-car infotainment: Speech recognition is used to provide an improved in-car experience in the automotive industry.
  4. Education: Speech recognition provides a useful tool for education purposes.
  5. Transcription and dictation: Several industries depend on speech transcription services. Such services are useful for transcribing customer phone calls in the sales department, in company meetings, for investigative government interviews, and for capturing medical notes for a patient.
  6. Voice-enabled virtual assistants: Various popular virtual assistants, like Apple’s Siri, Microsoft’s Cortana, Google Assistant, and Amazon Alexa use speech recognition technology in them.

Speech recognition algorithms

The algorithms used in speech recognition technology include the WFST framework, PLP features, deep neural networks, Viterbi search, discrimination training, etc. Keep checking Google’s recent publications on speech if you are interested in their new inventions. Google’s algorithms are available in an open-source format.

Advantages of speech recognition

Enables hands-free communication

Speech becomes incredibly powerful when your eyes and hands are unable to interact. Devices such as Apple’s Siri, Amazon’s Alexa, or Google Maps come to be used to rescue to reduce misinterpretation in navigation or communication.

Helping aid for visually and hearing impaired

People with visual and hearing impairments have to rely on screen readers heavily along with text-to-speech dictation systems to understand conversations. Speech recognition software can help to convert audio into text which is regarded as absolutely critical for people having visual and hearing impairments.

Playing back simple information

Customers want to have quicker access to their queries nowadays. In some scenarios, customers do not want to speak to an operator. In such cases, speech recognition can be used to provide basic information to the user.

Makes work processes more efficient

Document processing becomes shorter and more efficient through the use of speech recognition. Documents can be created within a short period faster and quicker than ever before as they are typed. Speech recognition software also saves a great deal of labor employment for documentation work.

Conclusion

Aside from ensuring that the voice of your users and customers is heard, speech recognition technology provides essential support and saves time to already overburdened systems, thus increasing accessibility for people all around. 

Your users will always voice their needs, wants, and expectations. One question then remains is: is your company, along with your AI systems, prepared to listen?

Contact us today to know how we can help you and your company with data solutions for your speech recognition technology.

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