aiOla's proprietary model significantly improves on OpenAI's
Whisper, achieving a 45% increase in speech recognition
accuracy when transcribing domain-specific dialogue
TEL
AVIV, Israel, July 8, 2024
/PRNewswire/ -- aiOla, a leader in speech recognition
technology, has announced a new AI model that leverages their
breakthrough research into jargon detection, allowing it to
instantly adapt to the unique vocabulary of any industry without
the need for re-training. aiOla is enabling enterprises to
effectively capture valuable, previously uncaptured data by
utilizing speech recognition technology specifically tailored to
their business jargon and needs. aiOla's technology replaces manual
processes previously done with pen and paper, while supporting over
100 languages and accurately transcribing even heavily accented
speech.
Off-the-shelf speech recognition models, including leading
solutions like OpenAI's Whisper, fall short in industry use due to
their inability to accurately transcribe domain-specific
terminology. To address these limitations, extensive training
tailored to each industry's unique requirements is usually
necessary. The initial cost of training state-of-the-art AI models
can reach hundreds of millions of dollars, and even the process of
fine-tuning models is extremely resource-intensive, requiring
specialized AI expertise.
aiOla's model, leveraging their proprietary technology, provides
the flexibility enterprises need across all industry sectors,
including manufacturing, supply chain, and beyond. Through an
innovative model architecture that leverages prompt guidance, it
effectively incorporates domain-specific jargon, enabling bespoke
AI speech recognition systems with zero retraining.
aiOla has begun deploying this technology in Fortune 500
companies in areas such as logistics, shipping, manufacturing,
maintenance, and inventory control, offering services tailored to
companies of any size while producing immediate, measurable
ROI.
"Enterprises across every industry are acutely aware of the
pressing need to adopt AI to maintain a competitive edge, but they
don't know where to begin," said Mitch
Garber, Executive Chairman of aiOla. "While text-based AI
solutions are great for office environments, speech interfaces
reign supreme for industrial settings because they seamlessly
integrate into existing workflows and collect previously uncaptured
spoken data. Prior AI speech recognition models couldn't perform
for business use cases because of their inability to grasp jargon.
Today, aiOla is changing that by providing instantly tailored AI
models that can understand the unique jargon of your specific
industry, your organization, or even your team."
aiOla has published research outlining their novel approach to
achieving instantaneous jargon recognition. They use a two-step
process: initially, the presence of specific terms is detected
through aiOla's advanced keyword spotting model, and this
information is then utilized by their Whisper-based model to
augment its overall speech recognition capabilities and correctly
detect the jargon words or terms. "For this use case, we decided to
enhance the most accurate speech recognition model out there,
OpenAI's Whisper," said Gil Hetz, VP
of Research at aiOla. "However, you can apply this approach to any
speech recognition model, including Meta's MMS model and
proprietary models, unlocking further potential to elevate even the
highest-performing speech-to-text models."
aiOla's model's capability to understand jargon instantaneously
is achieved by initially freezing the main speech recognition model
and adding a proprietary adaptive layer. This adapter undergoes
one-time training to guide it in effectively utilizing a vocabulary
of jargon, while the model's core capabilities of general-purpose
speech recognition are retained. After training, the jargon
vocabulary can be hot-swapped to the jargon of a different sector,
achieving state-of-the-art performance in recognizing both
industry-specific language and general speech.
About aiOla:
aiOla's patented technology comprehends over 100 languages, and
discerns jargon, abbreviations and acronyms, demonstrating a low
error rate even in noisy environments. aiOla's technology converts
manual processes in critical industries into data-driven,
paperless, AI-powered workflows through cutting-edge speech
recognition.
Contact:
Ali Goldberg
Concrete Media for aiOla
aiOla@concrete.media
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content:https://www.prnewswire.com/news-releases/aiola-unveils-first-of-its-kind-ai-model-that-instantly-adapts-to-any-industrys-jargon-with-no-additional-training-302190708.html
SOURCE aiOla