Digital Voice Speech Tuning Audio Specialist
@ Lensa

Hybrid
$100,000
Hybrid
Full Time
Posted 5 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @lensa.com
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Job Details

Overview

Lensa is a career site that connects job seekers with great opportunities in the US. Lensa promotes jobs on behalf of its direct clients, recruitment ad agencies, and marketing partners. This role is promoted for Shuvel Digital.

Role: Digital Voice Speech Tuning Audio Specialist

This position is remote and focuses on tuning voice recognition systems including Natural Language Processing applications for conversational banking. The specialist will listen to calls, review reports, and analyze data to identify areas for improvement.

Responsibilities

  • Analyze call recordings and reports for data trends
  • Identify errors in transcription and tuning engine mismatches
  • Implement changes to the voice tuning engine
  • Collaborate with vendors regarding audio adjustments
  • Utilize tools such as Microsoft Speech Studio, STT/TTS solutions, and AudioCodes systems

Required Skills and Must Haves

  • In-depth experience in speech tuning for voice recognition applications
  • Proficiency in data analysis to determine tuning approach
  • Audio engineering expertise to advise vendors
  • Familiarity with Microsoft Speech Studio, STT/TTS solutions, and AudioCodes portal

Key skills/competency

  • Speech Tuning
  • Data Analysis
  • Audio Engineering
  • Microsoft TTS
  • Microsoft STT
  • AudioCodes
  • NLP
  • Voice Recognition
  • Custom Speech
  • Tuning Engine
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How to Get Hired at Lensa

🎯 Tips for Getting Hired

  • Research Lensa's culture: Study company mission and client partnerships.
  • Customize your resume: Highlight speech tuning and audio expertise.
  • Showcase data skills: Include examples of data analysis.
  • Demonstrate technical proficiency: Emphasize Microsoft and AudioCodes experience.

📝 Interview Preparation Advice

Technical Preparation

Review Microsoft TTS documentation.
Study AudioCodes tuning techniques.
Practice data-driven analysis on recordings.
Test voice recognition software setups.

Behavioral Questions

Describe past audio tuning project challenges.
Explain your data analysis approach.
How do you handle feedback from vendors?
Discuss collaboration in remote teams.

Frequently Asked Questions