New Speech Technology Matches Service Workers to Jobs

Jobaline Voice Analyzer(TM) Places Workers Based on Emotional Resonance of Voice


NEW YORK, Oct. 30, 2014 (GLOBE NEWSWIRE) -- Jobaline.com, the leading mobile and bilingual job marketplace that matches employers with hourly workers in the U.S., announced the release of its patent pending Jobaline Voice Analyzer™ at the "Talent Acquisition: The New Era" symposium hosted by TMP Worldwide. Voice Analyzer matches workers to jobs based on how listeners react emotionally to specific voices.

Jobaline automates the prescreening and matching of job applicants to hourly wage jobs, a segment that represents approximately two thirds of the U.S. labor force and where 50 million people are hired every year. As a result of processing over 650,000 bilingual job applications that include automated phone interviews, Jobaline processed millions of voice responses from hourly wage job candidates of different cultures, education levels, genders and ages.

"Recorded answers are a fantastic tool for me and our hiring managers," said Abbey Mattson, Director of Human Resources at the Crowne Plaza Kansas City Hotel, a member of The Hotel Group. "Being able to hear how our candidates answer our questions really gives us a good sense of who they are and what they may be best suited for before we decide to bring them in."

Jobaline decided to enhance its job matching process by applying data sciences and advanced modeling to create algorithms that predict human emotions elicited by paralinguistic elements of those voice records. Paralinguistic elements, such as tone of voice, complement verbal communication and may add meaning. That means "how" things are said is as important as "what" is being said.

With the Voice Analyzer, Jobaline automates the recruiting process even further by identifying, in real time, workers with voices that the average individual in the U.S. will find engaging and pleasant. A practical application of this technology is in the services industry, where it is important for companies to hire frontline employees that can connect with their customer base. That way, hiring managers can better inform, in an objective manner, their recruitment process while saving hours making unproductive phone calls.

Over 72 percent of U.S. consumers exposed to voice clips from job applicants agreed that the candidates selected by Jobaline's matching platform were engaging, appealing and interesting. The study, performed by independent market research firms Core Solutions and Clear Voice Research, surveyed a representative U.S. sample by geographic region, income, ethnicity, gender and age.

"People intuitively know when a voice invites us to engage in a conversation, or when a voice sounds calming. This is the subjective analysis done millions of times every year by recruiters when hiring hourly workers," said Jobaline CEO Luis Salazar. "Our technology draws an objective analysis of whether, based on some unique characteristics of the person's voice, an individual will perform better in specific roles such as sales or customer service. We believe this is a natural step forward in the job matching economy," continued Salazar.

Advanced matching technologies such as Jobaline Voice Analyzer, combined with pay-per-results Business models, can dramatically reduce the nearly one billion hours spent by large employers prescreening applicants and improve the efficiency of the $6B they spend on job advertising. As important, the time that hourly workers spend between part time or seasonal jobs can be reduced accordingly.

About Jobaline

Jobaline.com is the leading mobile and bilingual hourly jobs matching marketplace. Jobaline, which has processed 650,000 job applications in 2014, makes it easy for workers to find, apply for, and get matched to jobs, from any mobile phone, tablet, or computer. Jobaline reduces recruitment expenses by 60 percent, increases quality of applicants by up to 800 percent, and reduces time to hire by 50 percent, saving hundreds of hours in manual prescreening.


            

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