Your SlideShare is downloading. ×
  • Like
  • Save
Speech Recognition
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.


Now you can save presentations on your phone or tablet

Available for both IPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Speech Recognition



Published in Technology , Education
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads


Total Views
On SlideShare
From Embeds
Number of Embeds



Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

    No notes for slide
  • - Avgvocab of a 3 year old-Beam search is an optimization of best-first search that reduces its memory requirements


  • 1. Matt Oliverio, Shane Conceicao, and Sean Hanley
  • 2.  Bell Laboratories designed in 1952 the "Audrey" system, which recognized digits spoken by a single voice. IBM demonstrated at the 1962 Worlds Fair its “Shoebox" machine, which could understand 16 words spoken in English and solve arithmetic on voice command
  • 3.  U.S. Department of Defense’s DARPA Speech Understanding Research (SUR) program in the 1970’s was responsible for Carnegie Melon’s Harpy system. Harpy could understand 1011 words Harpy was significant because it was the first to use beam search technology A predetermined number of best partial solutions are kept as candidates and it predicts how close it is to complete solution
  • 4.  In the 1980’s speech recognition vocabulary jumped dramatically due to a new statistical method called the Hidden Markov Model Instead of using templates for words and looking for sound patterns, HMM took the probability of unknown sounds being words This gave the potential for speech recognition programs recognize an unlimited number of words
  • 5.  Introduced in 1987 children could train the doll to respond to their voice er_embedded&v=UkU9SbIictc
  • 6.  In the 1990’s faster computers made it possible for ordinary people to have speech recognition software In 1990 Dragon Dictate came out for $9000 Seven years later Dragon Naturally Speaking arrived for $695 Could understand words at a natural speed but you had to train it for 45 minutes
  • 7.  By 2001, computer speech recognition had topped out at 80 percent accuracy and progress seemed to stall until the end of the decade Google’s voice search app for the iPhone and Apple’s Siri brought speech recognition back to the forefront
  • 8.  Interact with the calendar. Search contacts. Read and write messages (text and email). Interact with the Maps app and location services. Utilize search providers Can understand English (US, UK, Australia), French, German, and Japanese
  • 9.  Mobile App that allows the user to speak one language into the phone and produces a verbal translation iPhone and Android Thai, Chinese, French, German, Iraqi, Japanese, Korean, Spanish, TagologEnglish German-Spanish
  • 10.  Ford SYNC technology ◦ Music ◦ Directions ◦ Handsfree Calling ◦ IgbcdOliw Nuance Dragon NaturallySpeaking ◦ Audi, BMW, Fiat, Hyundai, Mercedes, Jaguar, Porsche, Volkswagen ◦ “One-Shot Destination Entry” and full control of the “infotainment system”
  • 11.  Microphone on Kinect Start by saying “Xbox,” and then saying one of the commands on screen Understands English, French, German, Italian, Spanish, Japanese Minimal background noise, clarity important
  • 12.  Medical ◦ Allow doctors to talk into patient’s file to record notes during examinations Court of Law ◦ Record and digitize court proceedings in real time ◦ Reduce time and cost, increase efficiency Educational ◦ Rapid text-to-speech, aiding kids with disabilities ◦
  • 13.  Speeds up “writing” Improvements in spelling Beneficial for the handicapped  Physically or Mentally Ability to multitask  Frees up physical limitations of using one’s hands
  • 14.  Inaccuracy  Slang  Homonyms  Quiet environment  Distinct delivery Requires learning commands “Speaking to the Paper”  Professionalism  Editing Expensive
  • 15.  Do you feel that the pros outweigh the cons? Is it worth investing in this software despite current limitations? Does anyone have Siri? Does it actually help you? Would anyone prefer to use the speech-to- text software to write papers?