Koemei Unveils Cloud-Based Speech Recognition and Transcription Solutions

[Susan Powers]

Video and audio transcription provider Koemei has launched Koemei Web
Service, a cloud-based platform and programming interface for the next
generation of video transcription and captioning.

According to the company, transcription and captioning of video and
audio content can now be performed automatically and more accurately,
replacing costly and cumbersome manual transcription methods.

The Koemei Web Service platform enables transcription of video and
audio content for captioning, indexing, search and discovery, and
search engine optimization. At the core of Koemei Web Service is its
speech decoding engine, which converts the audio of every speaker into
text, using the cloud-based multi-speaker speech recognition platform
and API for transcription of video and audio content.

Koemei Web Services also offers the following capabilities:

a cloud-based self-service platform and API so there's no need for
technical skills in speech; users can add capabilities with simple
HTTP requests using a RESTful API.
a wiki-type edit platform for editing by a closed or open community
for accessibility compliance.
the ability to accept input from various sources (language model,
pronunciation dictionary, acoustic models) into a single decoder for
greater accuracy.
"Koemei Web Services meets the need in business, media, governments,
education, and developers who produce an ever-increasing amount of
video but are limited to current manual, and costly, transcription
methods," said Temitope Ola, co-founder and CEO, Koemei, in a
statement. "We now offer a cloud-based, fully-automated machine
transcription solution for enterprises to caption, index, and monetize
their content.

"Current solutions are manual and costly ranging from $2.00 to $5.00 a
minute and are not suitable or sustainable for large scale
transcription needs of the media, government, or education. In the
U.S. alone, video and audio producers lose close to $5 billion
annually through the inability of outdated manual methods to
transcribe large amounts of content," Ola said.

http://www.youtube.com/watch?v=LPl0i5_l3X0

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