Innovations in Language Understanding
May 25, 2017
AI and robotics have advanced significantly. However, machines are yet to achieve that level of sophistication in language understanding. The work is in progress as these trends indicate.
Abbyy in an eBook titled Killer Language Understanding Innovations says:
Pioneering advances in natural language processing and machine vision are re-defining the computing landscape. And disrupting every single industry in the process.
One of the major trend is training chatbots to automate the entire customer services. Chatbots if become capable of interacting in natural language, it would revolutionize several industries. Another trend is combining geospatial data with language understanding to thwart terrorist threats.
In a corporate domain, decision making can become easier if AI is able to decipher the data an organization has and provides real-time actionable inputs. Similarly, data extraction which is still is a manual process can be expedited with optical recognition capabilities of machines.
These are few of the trends that are dominating the language innovations. You can read more about it by clicking here.
Vishol Ingole, May 25, 2017
New AI on Personal Digital Assistant Horizon
May 22, 2017
Computer scientists at Princeton University have developed a technology that allows the user to fully edit voice recordings using an intelligent algorithm.
Science Daily in a report titled Technology Edits Voices Like Text says that:
The software, named VoCo, provides an easy means to add or replace a word in an audio recording of a human voice by editing a transcript of the recording. New words are automatically synthesized in the speaker’s voice even if they don’t appear anywhere else in the recording.
The system is capable of recreating voice of the user using an intelligent algorithm. This makes adding words to pre-recorded audio recordings easier. The same technology can also be used to create a custom robotic voice for digital personal assistants.
Currently available audio editing software are capable of snipping and patching small segments of a recording and cannot add non-existent words. Algorithm of VoCo after analyzing the entire recording is able to synthesize any word without difficulty. At this speed, do we see the current breed of rock and pop artists disappearing?
Vishol Ingole, May 22, 2017
Voice Recognition Software Has Huge Market Reach
May 3, 2017
Voice recognition software still feels like a futuristic technology, despite its prevalence in our everyday lives. WhaTech explains how far voice recognition technology has imbedded itself into our habits in, “Listening To The Voice Recognition Market.”
The biggest example of speech recognition technology is an automated phone system. Automated phone systems are used all over the board, especially in banks, retail chains, restaurants, and office phone directories. People usually despise automated phone systems, because they cannot understand responses and tend to put people on hold for extended periods of time.
Despite how much we hate automated phone systems, they are useful and they have gotten better in understanding human speech and the industry applications are endless:
The Global Voice Recognition Systems Sales Market 2017report by Big Market Research is a comprehensive study of the global voice recognition market. It covers both current and future prospect scenarios, revealing the market’s expected growth rate based on historical data. For products, the report reveals the market’s sales volume, revenue, product price, market share and growth rate, each of which is segmented by artificial intelligence systems and non-artificial intelligence systems. For end-user applications, the report reveals the status for major applications, sales volume, market share and growth rate for each application, with common applications including healthcare, military and aerospace, communications, and automotive.”
Key players in the voice recognition software field are Validsoft, Sensory, Biotrust ID, Voicevault, Voicebox Technologies, Lumenvox, M2SYS, Advanced Voice Recognition Systems, and Mmodal. These companies would benefit from using Bitext’s linguistic-based analytics platform to enhance their technology’s language learning skills.
Whitney Grace, May 3, 2017
Voice Recognition Software Has Huge Market Reach
March 3, 2017
Voice recognition software still feels like a futuristic technology, despite its prevalence in our everyday lives. WhaTech explains how far voice recognition technology has imbedded itself into our habits in, “Listening To The Voice Recognition Market.”
The biggest example of speech recognition technology is an automated phone system. Automated phone systems are used all over the board, especially in banks, retail chains, restaurants, and office phone directories. People usually despise automated phone systems, because they cannot understand responses and tend to put people on hold for extended periods of time.
Despite how much we hate automated phone systems, they are useful and they have gotten better in understanding human speech and the industry applications are endless:
The Global Voice Recognition Systems Sales Market 2017report by Big Market Research is a comprehensive study of the global voice recognition market. It covers both current and future prospect scenarios, revealing the market’s expected growth rate based on historical data. For products, the report reveals the market’s sales volume, revenue, product price, market share and growth rate, each of which is segmented by artificial intelligence systems and non-artificial intelligence systems. For end-user applications, the report reveals the status for major applications, sales volume, market share and growth rate for each application, with common applications including healthcare, military and aerospace, communications, and automotive.
Key players in the voice recognition software field are Validsoft, Sensory, Biotrust ID, Voicevault, Voicebox Technologies, Lumenvox, M2SYS, Advanced Voice Recognition Systems, and Mmodal. These companies would benefit from using Bitext’s linguistic-based analytics platform to enhance their technology’s language learning skills.
Whitney Grace, May 3, 2017
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