Pronunciation Trainer Algorithm

The app I am envisioning is language learning app (maybe more like software) designed around the idea of training the user's pronunciation through machine learning and natural language processing.<br><br>Here is how it works:<br>1. An initial survey would be made to determine the user's native language, desired language to learn, preferred method of learning and what will be necessary to train the pronunciation model to this specific user's voice.<br><br>2. Once the user is signed up, the algorithm can be trained by feeding sound wave data from native speakers of the desired language. It would study patterns in the audio waves to develop an understanding of how to compare the desired and actual pronunciation. This is based on the knowledge that the human voice is made up of a variety of frequencies, and audio software is usually able to read frequency patterns.<br><br>3. The new user can then install the software and start using it. As they speak into the software, it will compare the frequency patterns in their voice to the patterns it learned from the native speakers and identify the parts of speech where the user's voice doesn't match the expected pattern. This can be used to develop an interface with real-time feedback that can be tailored to the user, identifying specific patterns and helping the user understand, through sound and visual cues, exactly how to modify the pronunciation.<br><br>4. A music-based game could be introduced to a more modern UI, allowing users to practice their pronunciation in a more fun, interactive environment. This could involve hitting notes of a song using a video game music controller (like Guitar Hero) where the pitch of the frequency, rather than the note on the staff, is the determining factor of whether the user hit the note or not; this variation would allow a more precise way of identifying the correct frequencies. There could be a metronome that the user must match the tempo to. There could even be a virtual dance game (like Dance Dance Revolution) where the tempo held by the user's voice is what makes the character dance. This would essentially create a more modern, game-based app format.<br><br>5. This concept would allow for each user to have a unique, personalized training model, even when adjusting for the fact that the user's voice itself may change over time. Using machine learning, the algorithm could adapt its own model to fit the user's changing voice, allowing a lifelong learning experience.<br><br>In short, the whole software would be based around an algorithm that learns and adapts based on the user's voice, allowing the user to compare their pronunciation to a model that has learned the expected patterns in the desired language, and introduces a fun, gamified environment that encourages lifelong learning.<br><br>In short, the concept is to train an algorithm to hear and study patterns in the pronunciation of native speakers in different languages, then train it to adapt to the changing voice of each user as they learn.