5.7 Speech Recognition and Voice Recognition

Introduction

Speech recognition and voice recognition are two different technologies, though they are closely related. Both are used for interaction between humans and machines, but they serve different purposes. Understanding the difference between them is important because they are often confused with each other.

Definition

Speech Recognition is a form of artificial intelligence. It is software that converts human speech into text form or commands that devices can understand and respond to.

Voice Recognition is software that converts voice into digital data based on the user's unique voice characteristics. Voice recognition is a biometric system.

Main Idea

• Speech Recognition = What is being said? (converts speech to text)
• Voice Recognition = Who is speaking? (identifies the person by voice)

Core Concept

Detailed Explanation

Speech Recognition

Speech recognition is a form of artificial intelligence. It is software that converts human speech into text form or commands that devices can understand and respond to. It provides hands-free control of various devices and equipment. It provides an easy way to operate devices, and some hands-free equipment is very helpful for disabled persons.

The software used for speech recognition is quite complex as it involves:

• Signal processing
• Machine learning
• Natural Language Processing (NLP)

The output accuracy of speech recognition software may depend on:

• The quality of the original recording
• The complexity of the language

After the conversion of spoken words into text, the user can further process the text to correct the mistakes by running it through spelling and grammar check.

Voice Recognition

Voice recognition software converts voice into digital data based on the user's unique voice characteristics. Voice recognition is a biometric system. It is used to verify a person's identity based on unique features of his voice such as tone, pitch, etc.

Intermediate Level

At the intermediate level, you should understand the applications of each technology.

Applications of Speech Recognition

Speech to Text Typing Applications (Dictation Software): There are a variety of speech-to-text typing software, also known as dictation software. Dictation software was used in the early days, but it had little accuracy. Now, dictation apps are AI-based and give better results but still cannot provide 100% results. Dictation software is very helpful for people with disabilities as they can use it to type more easily.

• Apple Dictation
• Windows 11 Speech Recognition
• Google Docs (voice typing)
• Gboard

Call Centers: Speech recognition systems are used in call centers to automate customer interactions. They are used to respond to customers' requests and improve productivity.

Healthcare: Automatic speech recognition systems are used in healthcare for efficiency and accuracy. Doctors use it to convert speech into text for medical reports and updating patients' electronic health records.

AI Assistants: AI assistants such as Siri, Cortana, and Alexa are commonly used to help us in carrying out various tasks at home and at work. For example, AI assistants can help us turn lights on in our home, search for something on the Internet, give directions while driving, and adjust the thermostat.

Quran Memorization Applications: Memorization of Quran is an important religious and spiritual practice in Islam. It is the Holy Book of Allah Subhanahu Wa Ta'ala and is preserved in the hearts of Muslims. Memorization of Quran is an act of worship, and those who memorize it will get the reward in the hereafter. Memorization of Quran opens the doors of goodness, virtue, righteousness, and morality.

• Audio recitation
• Interactive learning tools
• Progress tracking
• Selection of reciter
• Selection and repetition of verses
• Mistake detection and feedback

Some popular Quran memorization apps are Tarteel, Al Murqi, Quran Companion, Al Muhaffiz, Ayat-Al Quran, and Quran Pro.

Language Translation: Speech recognition systems are also used with machine translation software to convert human speech from one language to another. It helps to have conversations with someone who does not understand our language. It is very helpful for international business and organizations.

Applications of Voice Recognition

Voice Recognition for Security: Voice recognition systems are used in various fields such as banking to recognize a specific voice for authentication and work as a unique password to unlock a protected account. The account cannot be unlocked by other people as their voice sound is different. Sometimes voice recognition is used along with facial recognition for identification of people.

Criminal Investigation and National Security: Voice recognition is used all over the world to solve crimes. If a voice recording of a crime suspect is available, voice recognition technology can be used to provide evidence and identify criminals. Voice recognition can be helpful in investigating telephone-based fraud. It can also be used for surveillance of organized crimes on telephone and the Internet.

National security agencies use voice recognition technology to identify terrorists and government spies.

Important Points

• - Speech recognition = speech to text.
• - Voice recognition = identify the speaker.
• - Speech recognition uses AI, ML, and NLP.
• - Voice recognition is a biometric system.
• - Speech recognition applications: dictation, call centers, healthcare, AI assistants, Quran memorization, language translation.
• - Voice recognition applications: security, criminal investigation, national security.
• - Both are used for human-machine interaction.

Remember

• - Speech recognition = words.
• - Voice recognition = person.
• - Speech = AI, ML, NLP.
• - Voice = biometric.
• - Speech apps: dictation, call centers, healthcare, AI assistants, Quran apps, translation.
• - Voice apps: security, criminal investigation, national security.

Common Mistakes

• - Confusing speech recognition with voice recognition.
• - Thinking that they are the same technology.
• - Assuming that speech recognition is 100% accurate (it is not).
• - Forgetting that voice recognition is a biometric system.
• - Thinking that voice recognition only identifies words (it identifies the person).
• - Assuming that speech recognition is only for dictation (it has many uses).
• - Ignoring the challenges of background noise and accents.

Quick Revision

• Speech recognition: converts speech to text or commands.
• Voice recognition: identifies a person by voice characteristics.
• Speech recognition is a form of AI.
• Voice recognition is a biometric system.
• Speech recognition applications: dictation software, call centers, healthcare, AI assistants, Quran memorization, language translation.
• Voice recognition applications: security, criminal investigation, national security.
• Speech recognition involves signal processing, ML, and NLP.
• Voice recognition uses tone, pitch, and other unique features.

60-Second Revision

• Speech = words; Voice = person.
• Speech = AI, ML, NLP; Voice = biometric.
• Speech apps: dictation, call centers, healthcare, AI assistants, Quran, translation.
• Voice apps: security, criminal investigation, national security.
• Warning: Don't confuse speech recognition with voice recognition; one converts words, the other identifies the person.