The Prophetic Messenger
A Newsletter From Mysteries From The Word Of God Ministries
September/October 2019 - Volume 21/Issue 5
Are We Seeing The Technology That Could Be Used For The Image Of The Beast? - Part I
14 And deceiveth them that dwell on the earth by the means of those miracles which he had power to do in the sight of the beast; saying to them that dwell on the earth, that they should make an image to the beast, which had the wound by a sword, and did live. 15 And he had power to give life unto the image of the beast, that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed. Revelation 13:14-15
In this issue of The Prophetic Messenger, we will start a message titled “Are We Seeing The Technology That Could Be Used For The Image Of The Beast?” First, we will talk about the history of speech recognition technology and the role it will play for the image of the beast.
In this issue of The Prophetic Messenger, we will start a message titled “Are We Seeing The Technology That Could Be Used For The Image Of The Beast?” First, we will talk about the history of speech recognition technology and the role it will play for the image of the beast.
History Of Speech Recognition
This article titled “Short History Of Speech Recognition” (Note 1) says
“There has been more progress in speech recognition technology in the last 30 months than in the first 30 years. Computing power and artificial intelligence are largely behind the advances in this space. With massive amounts of speech data combined with faster processing, speech recognition has hit an inflection point where itscapabilities are roughly on par with humans. The graph below is from Mary Meeker’s 2017 Internet Trends report. It plots Google’s word accuracy rate which recently broke the 95% threshold for human accuracy.While there have been a ton of strides lately, voice recognition dates back to the early 1950s. Below are some of the key events that shaped this technology over the last 70 years.The first speech recognition systems were focused on numbers, not words. In 1952, Bell Laboratories designed the ‘Audre’ system which could recognize a single voice speaking digits aloud. Ten years later, IBM introduced ‘Shoebox’ which understood and responded to 16 words in English. Across the globe other nations developed hardware that could recognize sound and speech. And by the end of the ‘60s, the technology could support words with four vowels and nine consonants. . . .By the year 2001, speech recognition technology had achieved close to 80% accuracy. For most of the decade there weren’t a lot of advancements until Google arrived with the launch of Google Voice Search. Because it was an app, this put speech recognition into the hands of millions of people. It was also significant because the processing power could be offloaded to its data centers. Not only that, Google was collecting data from billions of searches which could help it predict what a person is actually saying. At the time Google’s English Voice Search System included 230 billion words from user searches. . . .Today, some of the largest tech companies are competing to herald the speech accuracy title. In 2016, IBM achieved a word error rate of 6.9 percent. In 2017 Microsoft usurped IBM with a 5.9 percent claim. Shortly after that IBM improved their rate to 5.5 percent. However, it is Google that is claiming the lowest rate at 4.9 percent. The technology to support voice applications is now both relatively inexpensive and powerful. With the advancements in artificial intelligence and the increasing amounts of speech data that can be easily mined, it is very possible that voice becomes the next dominant interface.”
In closing, we see this incredible progress in speech recognotion technology, and in the next newsletter we will share how it relates to the image of the beast in Revelation 13.
“There has been more progress in speech recognition technology in the last 30 months than in the first 30 years. Computing power and artificial intelligence are largely behind the advances in this space. With massive amounts of speech data combined with faster processing, speech recognition has hit an inflection point where itscapabilities are roughly on par with humans. The graph below is from Mary Meeker’s 2017 Internet Trends report. It plots Google’s word accuracy rate which recently broke the 95% threshold for human accuracy.While there have been a ton of strides lately, voice recognition dates back to the early 1950s. Below are some of the key events that shaped this technology over the last 70 years.The first speech recognition systems were focused on numbers, not words. In 1952, Bell Laboratories designed the ‘Audre’ system which could recognize a single voice speaking digits aloud. Ten years later, IBM introduced ‘Shoebox’ which understood and responded to 16 words in English. Across the globe other nations developed hardware that could recognize sound and speech. And by the end of the ‘60s, the technology could support words with four vowels and nine consonants. . . .By the year 2001, speech recognition technology had achieved close to 80% accuracy. For most of the decade there weren’t a lot of advancements until Google arrived with the launch of Google Voice Search. Because it was an app, this put speech recognition into the hands of millions of people. It was also significant because the processing power could be offloaded to its data centers. Not only that, Google was collecting data from billions of searches which could help it predict what a person is actually saying. At the time Google’s English Voice Search System included 230 billion words from user searches. . . .Today, some of the largest tech companies are competing to herald the speech accuracy title. In 2016, IBM achieved a word error rate of 6.9 percent. In 2017 Microsoft usurped IBM with a 5.9 percent claim. Shortly after that IBM improved their rate to 5.5 percent. However, it is Google that is claiming the lowest rate at 4.9 percent. The technology to support voice applications is now both relatively inexpensive and powerful. With the advancements in artificial intelligence and the increasing amounts of speech data that can be easily mined, it is very possible that voice becomes the next dominant interface.”
In closing, we see this incredible progress in speech recognotion technology, and in the next newsletter we will share how it relates to the image of the beast in Revelation 13.
Notes:
Note 1: https://sonix.ai/history-of-speech-recognition
Note 1: https://sonix.ai/history-of-speech-recognition
Coming Up In The Next Issue
Are We Seeing The Technology That Could Be Used For The Image Of The Beast? - Part II. Read this article in the next issue of The Prophetic Messenger.
Memory Verses
As Christians if we want to live in victory and if we want to be able to share the Word Of God with others we must know the Word of God ourselves. Let's see what the Bible says about this. "Thy word have I hid in mine heart, that I might not sin against thee." Psalm 119:11. "If ye abide in me, and my words abide in you, ye shall ask what ye will, and it shall be done unto you." John 15:7. "Then said Jesus to those Jews which believed on him, If ye continue in my word, then are ye my disciples indeed." John 8:31. We encourage you to put the following scriptures in your heart: Habakkuk 2:20, I Corinthians 13:12, Genesis 18:23, Proverbs 21:4, I Timothy 4:15, Proverbs 30:4, John 15:11, Job 14:14, Acts 12:5, I Chronicles 16:9. Use only the Old King James version of the Holy Bible. (If you have any questions about this please see the book New Age Bible Versions, by G.A. Riplinger ©1993, ISBN 0-9635845-0-2.)
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