The Quest for Convenient and Efficient Speech Recognition
The need for developing APIs has now evolved from making the technology work to how it can be done conveniently and efficiently.
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A few years ago, speech recognition technology was a punchline in many a sitcom’s jokes. Understandably, the technology was in its infancy prone to errors. Now, reaching new levels of maturity and wide acceptance, Amazon’s Alexa is just one example of this, the technology is now being implemented in novel ways. The need for developing APIs has now evolved from making the technology work to how it can be done conveniently and efficiently.
Moving beyond the technology’s threat to privacy one of the greatest virtues of speech recognition technology is its accessibility. In providing the disabled with a technology that allows interaction and interfacing with other technologies, speech recognition has become a technology at the forefront of providing accessibility and promoting inclusivity. For the workplace, the benefits range from more productive employees to promoting greater diversity amongst the workforce.
With remote working being a reality for far more individuals than previously imagined having records of meetings in the form of transcriptions has become even more important. In the past for real-time transcriptions needed to be done by third-party contractors. With massive leaps in technology and error rates plummeting speech recognition can fill the role of the third-party contractor. Along with massive strides in automation and machine learning often the technology surpasses the contractor in terms of reported errors. This is expected to only improve in the future.
One of the more logical follows on applications for real-time speech recognition is real-time translation. Despite recent hiccups to global trade because of the global pandemic, many companies still have supply chains that span continents, this means that partners are bound to speak different languages. Often the language used for business may only be a second or third language so having real-time translations during meetings can be immensely beneficial.
Advantages Seen in Industry
The above examples of a few of the benefits of speech recognition are well and good, however, how is the technology used in practice. To achieve widespread adoption across several industries the technology must be packaged in such a way that is suitable, convenient, and efficient. This is particularly true for companies reliant on telecommunication, and at Zadarma, we provide an API that ticks all those requirement boxes.
For Fintech companies, these can easily result in providing clients with the option to pay bills or enquire account balances using voice prompts. For marketing departments across economic sectors, speech recognition can allow for greater customer interaction with products that generate valuable data points to assist in product improvement.
We are already seeing numerous companies beyond big tech looking to adopt speech recognition at some level. This may be to improve customer relations, promote more diverse work environments that improve company culture, or simply help employees improve workflow by being able to access the minutes of meetings without delay. As it is, speech recognition technology has already invaded the home space showing that it is here to stay.
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