This project is to determine the feasibility of a larger project involving speech recognition. We want to determine if it is feasible to build our our "speech analytics" capability using an open source project.
We are a call recording company that records calls for call centers. Many of our clients are interested in the ability to convert the recorded conversation into words that can be searched, counted, summarized and reported. This requires large vocabulary, speaker-independent speech recognition, either in the form of phoneme recognition or word recognition. There are a number of commercial software capabilities to do this, but we want to see if we can build the same ourselves.
There are two open source projects we are interested in working with: Julius and Sphynx. You should only bid on this project if you are familiar with those or something very similar (e.g. RWTH ASR).
The deliverable for this project is a design that shows how to use the available to software (including supporting software to be created) to do the following:
1) Build an acoustic model for the call center's recordings. Assume we will have a large sample of audio recorded and can have it transcribed as needed.
2) Take each individual recording and process it through a recognition engine (we are assuming the use of stereo recordings in which we can process the speech of each party on the call separately.)
3) Generate a set of words or phonemes from the processing and store in a file that will be used for searching and reporting.
Depending on the response, we may award the project to multiple bidders to determine the best design. The bidder with the best design is most likely to then be awarded the project to develop the full system.
Do not bid unless you have a good understanding of speech recognition technology and the open source projects listed above. You will wasting your time and mine if you bid and do not have expertise in this area.
15 freelancers are bidding on average $3920 for this job
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