Peter, While I don’t have direct experience with these programs, there are several Open-Source code sets that may be appropriate to your use.
They are located at: http://www.speech.cs.cmu.edu/. The Sphinx software set might be the most useful. Marc Siskin On Dec 27, 2017, at 10:04 AM, Rick Harrison via use-livecode <use-livecode@lists.runrev.com<mailto:use-livecode@lists.runrev.com>> wrote: Hi Peter, What you are trying to do is extremely complex. Each person’s voice print is unique to that person. The waveform of one person pronouncing a spoken phrase correctly could be quite different from how someone else’s waveform looks when spoken correctly, due to overtone harmonics, voice pitch, the speed at which the user is speaking etc. Think about dictation software, and about how it can still be like having a stupid secretary which misses 5% or more of the words spoken. It is a voice recognition problem which requires a lot of “fuzzy logic” to get it right. Companies have spent millions of dollars, and tens of thousands of hours developing these tools. You need to find a codebase for this that has already been developed, and that hopefully is either open-source, (good luck with that one), or you will have to license it from some company for a steep price. It will most probably also be a large program, will require a lot of CPU resources, and memory to run on a device. Good luck, and let us know if you find a good solution! Rick On Dec 27, 2017, at 7:16 AM, Peter Reid via use-livecode <use-livecode@lists.runrev.com<mailto:use-livecode@lists.runrev.com>> wrote: i'm developing an app for cheap Android tablets (e.g. Amazon Fire 7in) that allows a user to practice speaking a set of words. The app plays a sample of a word and the user then tries to say the same word. So far the app can play sample words and capture the user's attempts for the same words. The sample words and user attempts are uncompressed WAV files. I'm trying to find the code to do the comparison of 2 WAV files. Ideally, the code will be in the following formats (best first): 1. LiveCode 2. Pseudocode 3. Other code (Python, Java, C++ etc.) 4. Academic papers I'm considering 2 general methods: a. Compare 2 voice clips directly b. Convert 2 voice clips to text (using voice-to-text) and then compare the words in text format Note that Ali Lloyd from the LiveCode team has developed various things to help. However I've hit problems as follows: a. Ali has wrapped a standard Android sound library that compares 2 WAV files and gives a percentage match. However the comparison is either far too forgiving or far too strict, i.e. highly unreliable. b. Ali has wrapped a standard Android voice-to-text library which works well with the devices he's tried it on. However, the Amazon tablets do not support this Android library! Given the two developments from Ali both relied on preformed blackbox code (Android Java libraries), i may have to implement a comparison algorithm from scratch. A solution that's completely in LiveCode would have several benefits: i. it may work! ii. it may work cross-platform iii. it may be understandable! General reading around this subject produces recommendations such as using FFTs (Fast Fourier Transforms), MFCCs (Mel Frequency Cepstral Coefficient), etc. but I can't find anything that gives an end-to-end method, from sound in to comparative score out! Any help with this would be gratefully received! Peter -- Peter Reid Loughborough, UK _______________________________________________ use-livecode mailing list use-livecode@lists.runrev.com<mailto:use-livecode@lists.runrev.com> Please visit this url to subscribe, unsubscribe and manage your subscription preferences: http://lists.runrev.com/mailman/listinfo/use-livecode _______________________________________________ use-livecode mailing list use-livecode@lists.runrev.com<mailto:use-livecode@lists.runrev.com> Please visit this url to subscribe, unsubscribe and manage your subscription preferences: http://lists.runrev.com/mailman/listinfo/use-livecode --------------- Marc Siskin Manager, Modern Language Resource Center Carnegie Mellon University msis...@andrew.cmu.edu<mailto:msis...@andrew.cmu.edu> _______________________________________________ use-livecode mailing list use-livecode@lists.runrev.com Please visit this url to subscribe, unsubscribe and manage your subscription preferences: http://lists.runrev.com/mailman/listinfo/use-livecode
