fbpx
Generic selectors
Exact matches only
Search in title
Search in content
Facebook Fanpage
Twitter Feed
621 Following
861 Followers
Update Your Windows OS Today As “FRAG” Attacks Threaten WiFi Devices https://t.co/d9CnlxXZTt via @techbooky https://t.co/U2u6a460CH
19 hours ago
Tesla Will Stop Accepting Bitcoin On Environmental Concerns, Both Bitcoin And Tesla Tank https://t.co/alj0XSPys7 vi… https://t.co/k091BqlM8W
19 hours ago
How To Ensure Your New Business Website Is A Truly Worthy Investment https://t.co/CpzfJ6cv5O via @techbooky https://t.co/Eq9HGMJybc
yesterday
Why Your New Company Might Want Software Development Help https://t.co/E3n2iVIhFV via @techbooky https://t.co/uVqcBXPQFE
yesterday
Browse By Categories

Microsoft Speech Recognition Technology Performs As Well As Humans

Share

Microsoft announced something they call historic yesterday which is that they have now created a technology that recognises the words in a conversation just like a human would. The average score for a human when transcribing a conversation is about 5.9 percent and now Microsoft has developed a system that’s equal to humans with respect to voice recognition.

The current figure beats the word error rate (WER) of 6.3 percent that the Microsoft research team reported last month and according to Microsoft, the milestone will have broad implications for consumer and business products that can be significantly augmented by speech recognition. That includes consumer entertainment devices like the Xbox, accessibility tools such as instant speech-to-text transcription and personal digital assistants such as Cortana.

For Microsoft Technology and Research: A research team photographed in Microsoft's Building 99 in Redmond, Wash. on Thursday, October 13, 2016. Photo by Dan DeLong
For Microsoft Technology and Research: A research team photographed in Microsoft’s Building 99 in Redmond, Wash. on Thursday, October 13, 2016. Photo by Dan DeLong

While the technology is at par with what humans can produce, it needs to be developed further to make it more robust for real world scenarios like on our streets by security agencies. They also need to make it work with multiple users simultaneously too.

The machine didn’t also recognise every word perfectly and in reality too, humans may not be able to do this perfectly too but humans still have an edge and that’s another area they are looking to perfect.  The rate at which the computer misheard a word like “have” for “is” or “a” for “the” – is the same as you’d expect from a person hearing the same conversation.

Total
0
Shares
Previous Post

Finding a Good Piece of DVD Maker Software

Next Post

Google’s DeepMind AI System Is Now Able To Learn Without Human Input

Related Posts

Subscribe Our Newsletter

Subscribe

Never miss an important Tech news again

   
HTML Snippets Powered By : XYZScripts.com