We made MasterSpeech to help anyone who struggles with or wants to practice their speaking skills. We felt that this was something that everyone needs to practice, whether you're a student giving oral presentations, a candidate seeking to improve a speech, or even a salesperson working on a pitch.
How it works
Challenges I ran into
Additionally, we had hoped that speech-to-text APIs would transcribe everything spoken, including filler words like "um" and "uh". This way, users could also receive a transcript of what they had said and be able to see where they often used these words. Unfortunately, it seems that these words are often filtered out and automatically disregarded by the software.
Accomplishments that we're proud of
- Finding and using a suitable API for speech recognition
- First hackathon for half of our team
- Minified, entirely static and cacheable version (/min.html) that is fully functional under 5kb
- Good looking website for people who have never done any web design before
What's next for Master Speech
- More statistics like pause duration, vocabulary variation, tracking along with a pre-written speech, pitch variation, etc.
- Written transcript of what you said, filler words and all
- Saving recorded audio to playback and analyze later - talk to your phone in the car or when you have free time, then read over your stats later
- Twilio integration - simply call a number to have your speech recorded, transcribed, and saved to be accessed later online through an account