Speech Analytics Solution Development (Phase 2)
Location: Bondi Junction, Sydney NSW
Duration: 5 months
Keywords: Java, Artificial Intelligence, Data Mining, MySQL Database, Voice Processing Knowledge
Delacon develops leading telecommunication technology solutions and specialise in telecommunications and cloud-based SaaS (Software as a Services). They are an industry leader in call tracking and are the only Google Analytics Certified Partner in the world that does Call Tracking. Delacon currently identify online marketing channels and AdWords keywords that yield high value phone sales then optimise and refine campaigns to deliver more high value phone calls. Delacon can then automatically capture data into a client CRM to see the user journey from online to phone sale. One such method of data capture uses a third party transcribing voice to text module.
Delacon’s aim is to continue development of a speech analytics module, which is able to analyse the transcribed call data (already speech converted to data) and produce reporting of:
- Call Intention
- Customer sentiment
- Conversation keyword trends
The additional aim is the continual enhancement of the module to make it customer ready.
The challenge is to:
- Understand the status of the current product development.
- Roll out the product to Delacon customers.
- Propose new methods and solutions to enhance the speech analytics module including new functionality to customers, improvement of the roll out procedures, enhancement to the speech analytics model using artificial intelligence etc.
Research to be Conducted
With a growing database of verbal client interactions Delacon are seeking research into data mining, artificial intelligence, speech analytics and root-cause analysis to determine individual customer likelihood to progressing to a sale, sentiment analysis and keyword/theme trending.
- Further development, software module integration, and reporting
- Final model testing and adjusting (if required)
- Build the process into Delacon’s Java platform
- Create final report summarising the model (3-5 pages) and updated final model
- Deliver the report and model
- Review current operations of the module
- Propose enhancements to improve the roll out efficiency and accuracy of the module, including automation of call listening etc.
We are looking for a PhD student with the following skills:
- Proficient in Java
- Knowledge of AI, Data Mining & MySQL Database
- Voice Processing knowledge
- Knowledge about Tomcat, Lucene and Apache Camel
Delacon aim to develop an automated software system that can analyse speech and pass the text of the speech to Delacon’s clients with reporting to include rating each calls conversational content for its outcome – a purchase, indicated intent to buy (possibly scored), occurrence of specific words, and possibly sentiment. This will need to be coded in the Java language.
Propose new applications for Speech Analytics module including working with chat bots, bid optimization platforms, CRM integrations.
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 80% of their time on-site with the industry partner. The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
To participate in the APR.Intern program, all applicants must satisfy the following criteria:
- Be a PhD student currently enrolled at an Australian university
- PhD candidature must be confirmed
- Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
- Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s university
25 March 2018
INT – 0400