Artificial intelligence in speech recognition

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Artificial Intelligence in Speech Recognition
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In this article we are reading about Artificial
intelligence in speech recognition. The
accuracy of artificial intelligence in speech
recognition technology has reached a point where
it can be seriously considered. Googles
technology for artificial intelligence in speech
recognition, for example, has achieved 95
accuracy, according to venture capital firm
Kleiner Perkins Caufield Byers. This high level
of accuracy indicates that speech technology is
ready for the enterprise market, Arnold
said. Yet enterprises may not be ready for
speech technology. My sense right now is its
all fun technology to demonstrate, but Im not
seeing any overwhelming demand, said Nemertes
Research analyst Irwin Lazar. Fewer than 20 of
organizations had any plans or were evaluating
virtual assistant technology, according to a
Nemertes contact center study.
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Artificial intelligence in speech recognition,
and beyond For enterprises considering speech
technology, there are four flavors to choose
from, according to Arnold. 1. Speech-to-text
These applications range from dictating emails to
transcriptions during meetings. Arnold said
AI-driven speech-to-text can quickly learn
languages, which can be especially useful in
verticals, such as finance and healthcare, which
use specific terms and acronyms. 2.
Text-to-speech Arnold said text-to-speech apps
can help employees stay productive in mobile
settings by allowing them to review emails and
messages. Text-to-speech can also fine-tune audio
by smoothing out accents, volume, speaking rate
and long pauses. 3. Speech recognition
Artificial intelligence in speech recognition can
handle requests and queries for commands such as
calendaring, managing meetings, keyword search,
or customized phrases or shortcuts to automate
tasks. Applications can also be more complex for
real-time language translation or voice
biometrics for identification and authentication,
Arnold said.
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4. Speech analytics Arnold said speech analytics
turns unstructured data into structured data and
can offer compliance with call recording, quality
monitoring, sentiment analysis, and improve the
speed and accuracy of workflows. Lazar said the
most practical use for speech technology is to
enable employees to walk into a conference room
and employ voice biometrics to kick off a meeting
or start a video call. The technology can also be
used to let staffers dial into an audio bridge or
upload relevant documents. Speech technology
vendor landscape Speech technology vendors range
from large companies such as Google and Amazon to
smaller, niche technology vendors such as Nuance
and LumenVox. Many of the vendors in the market
come from the consumer and contact-center world,
and as a result, few focus solely on the
enterprise. These vendor offerings come in three
difference forms, Arnold said. Vendors such as
LumenVox and Speechmatics offer point products
for text-to-speech, speech-to-text, speech
recognition and analytics. These offerings are
purpose-built for a specific app.
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The second type of vendor offering is cloud-based
conversational platforms that use machine
learning and natural language processing. These
offerings include Amazon Echo and Apples Siri
and are often geared toward consumers but have
practical applications in the enterprise. The
third offering comes as part of enterprise
unified communications and collaboration
platforms such as Cisco Spark Assistant,
Microsoft Teams Cognitive Services and Alexa for
Business, Arnold said. These artificial
intelligence in speech recognition offerings are
different from general purpose conversational
platforms as they use AI to help workers become
more productive. Nuance, meantime, was
recognized at the Enterprise Connect Innovation
Showcase for its voice biometrics offering,
VocalPassword, which allows users to authenticate
their identity using their voice instead of using
a PIN or other means of identification.
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Jamie Flores, senior manager of core technologies
at Nuance, said voice biometrics can be used
proactively as a means of authentication and
passively to match a callers voice print on a
call with a contact center agent. If the voice
print doesnt match, the system can flag the
agent for follow up with security
questions. Nuance, an omnichannel service
provider of speech technology, also announced
updates to its omnichannel customer engagement
platform, which includes an AI-based
text-to-speech engine called Zoe that uses deep
neural network programming to create
customizable, natural-sounding voices. So in
this article we have read about Artificial
intelligence in speech recognition.
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