aiOla Launches Jargonic Speech Recognition Model

aiOla, a conversational artificial intelligence tech provider, has launched Jargonic, a speech recognition model trained on data from industrial settings to recognize industry-specific terminology.

Jargonic is now available via API through aiOla's enterprise platformand was specifically designed for enterprise environments. Trained on more than 1 million hours of transcribed speech, including substantial data from industrial settings, Jargonic incorporates proprietary keyword-spotting technology that detects and transcribes domain-specific terminology.

In comprehensive benchmark testing, Jargonic achieved an average word error rate of just 5.91 percent. When focusing specifically on industry jargon , Jargonic correctly recognized nearly 89.3 percent of specialized financial terms. For overall accuracy on jargon-heavy financial speech, Jargonic achieved an error rate of 12.32 percent.

Jargonic also demonstrated exceptional multilingual jargon recognition, achieving greater than 95 percent accuracy in recognizing industry-specific terms in the CommonVoice dataset across German, Spanish, Portuguese, French, and English.

"The real challenge in enterprise speech recognition isn't achieving high scores on clean academic datasets; it's maintaining exceptional accuracy when confronted with specialized vocabularies and challenging acoustic conditions," said Yossi Keshet, chief scientist at aiOla, in a statement. "Our keyword spotting technology represents a fundamental breakthrough in how speech recognition models identify and process domain-specific terminology."

"Enterprises today are sitting on vast amounts of untapped spoken data that contain critical business intelligence," said Assaf Asbag, chief technology and product officer of aiOla, in a statement. "With Jargonic, we're not just offering incrementally better speech recognition; we're fundamentally redefining how organizations capture, understand, and leverage their spoken communications."