Jade’s Status Report for Apr 25
On Monday I just tested our code before the demo we had and participated in the demo.
On Wednesday I wrote testing code to measure speech recognition accuracy. The code pulled random words from the thousand most common English words and then prompted the user to say them and compared the speech recognition output to the original prompt word. Abha and I tested it on the Raspberry Pi with the microphone hardware setup so that we could get a good understanding of what the accuracy of the system would be.
| Person | Date/time | correctness | total | file |
| Jade | 4/22 12:20 | 81 | 100 | |
| Abha | 4/22 12:41 | 91 | 100 | |
| Jade | 4/22 12:45 | 89 | 100 | op2.txt |
| Abha | 4/22 12:48 | 80 | 100 | |
| Jade | 4/22 12:52 | 91 | 100 | op3.txt |
| Jade | 4/22 1:03 | 91 | 100 | op4.txt |
| Average: | 0.8716666667 |
So far over 6 tests the system is averaging an 87% accuracy which is slightly above our metric of 85% accuracy.
I also had the program output a text file with the exact word errors so that we could analyze them.
On Friday I wrote testing code to measure system latency between the pi and the system. It measures the latency between when the user finishes saying the user input to when the system says the next line of dialog. I tested this only on one laptop with text inputs and found that the latency was within our 4- 6 second range. We still need to test latency for the whole system with speech recognition included.
I am on schedule.
Next week I will be working on finishing measurements and writing the final paper.