What Is Speech Recognition In AI (Artificial Intelligence)? speech recognition technology has rapidly increased in digital assistants, voice assistants, smart home appliances, search engines, etc. emerged as the most used feature in 2020. According to the report of global voice and speech recognition market worth estimate $26.8 billion by 2025 at a CAGR of 17.2%.
Many companies have quite meditatively adopted speech recognition technology. Today, In this article we’ll know about the reason for massively use and various aspects of speech recognition in AI. what impact creates in today’s world.
Speech Recognition Technology
Speech recognition is simply used for converting voice messages into text format or conversion of speech-to-text.
Speech recognition software is such a process that enables a computer to recognize and respond to voice input and then convert them into a format that the machine can understand on its own. The machine can convert it to text format or any other form of data depending on the end goal.
Speech Recognition Example
Some examples of automatic speech recognition devices that are utilizing massively in different industries such as
- Google Asistant
- Apple’s Siri
- Amezon’s Alexa
- Microsoft’s Cortana
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Speech Recognition In AI
In traditional google speech recognition, the system was unable to perform some practically complex tasks such as natural language, recognize different voices, accents, context, etc. Secondly, traditional speech recognition had the ability to identify a limited number of words.
As languages change over time, these algorithms are not able to adapt exactly. eventually, the accuracy rate of traditional algorithms is poor and making speech recognition systems inveracity.
All these shortcomings have been met by using artificial intelligence and machine learning such as speech recognition on the challenges of recording equipment and noise barrier, fluctuations in people’s voices, pronunciation, dialects, semantics, contexts, accents, etc.
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