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Home Artificial Intelligence

Microsoft’s Remarkable Advances in Speech Recognition Technology Rivals Human Performance

Paul Femi Balo by Paul Femi Balo
October 19, 2016
in Artificial Intelligence
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In Brief
  • Yesterday marked an important milestone in technology as Microsoft announced that they have created a ground-breaking technology that produces human-like results in speech recognition.
  • This innovative technology intends to interpret the spoken words in a conversation similarly to how a common person would comprehend them.
  • On an average, humans tend to manifest an error rate of about 5.9 percent when transcribing a conversation.

Yesterday marked an important milestone in technology as Microsoft announced that they have created a ground-breaking technology that produces human-like results in speech recognition. This innovative technology intends to interpret the spoken words in a conversation similarly to how a common person would comprehend them. On an average, humans tend to manifest an error rate of about 5.9 percent when transcribing a conversation. The revolutionary speech recognition system developed by Microsoft is now notably congruent with this human error rate, achieving an equivalent level of voice recognition.

Microsoft’s recent development unquestionably outperforms the Literature Measurement in Word Error Rate (WER) of 6.3 percent that was reported by its research team last month. According to Microsoft, this milestone achievement holds expansive implications for a wide array of consumer and business products that can be significantly enhanced by the incorporation of speech recognition. Such notable applications of the technology encompass consumer entertainment devices like the Xbox, its highly efficient accessibility tools including an instant speech-to-text transcription feature, and advanced personal digital assistants such as Cortana.

While the innovative technology exhibits parity with what humans can generate, there is still room for growth and further development to make it more robust for real-world applications. For instance, using speech recognition on public streets by security agencies could prove beneficial. Along with this, working on the scalability of the system to accommodate multiple users simultaneously is deemed necessary.

Although the performance of the system reflects near-human accuracy, room for improvement still exists. The technology, in its current state, cannot perfectly recognize every word. Similarly, humans sometimes fall short in identifying every spoken word accurately, thus the machine’s performance is a comparably good achievement. However, humans do have an advantage in certain areas that Microsoft’s technology currently fails to encapsulate, revealing further development potential. For instance, mishearing a word like “have” for “is” or “a” for “the” is a common error that both the machine and human tend to make. Nevertheless, the mirroring of such a human-like error pattern displays the considerable progress achieved in building the technology. This domain of improvement is one of the key areas Microsoft is striving to refine further.

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Embedded image description: A research team photographed in Microsoft’s Building 99 in Redmond, Wash. on Thursday, October 13, 2016. The image is a testament to the team’s hard work and dedication as they take steps in making ground-breaking strides in technology.

This article was updated in 2025 to reflect modern realities.

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Tags: AIartificial intelligencecortanamicrosoftresearchsciencespeech recognition
Paul Femi Balo

Paul Femi Balo

Paul Femi Balo is the founder and publisher of TechBooky. He covers artificial intelligence, African technology, digital infrastructure, enterprise technology and the global digital economy.

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