1 / 23

Voice Activated Calculator

Voice Activated Calculator. Shuab Khan Siddharth Yereddi. Outline. Objectives Design Tests Challenges Conclusions. Why Voice Activated?. Convenient Marketable Consumer Device Way of the Future Applications. Project Objectives. Speaker Independent Performs Basic Calculations

ipo
Télécharger la présentation

Voice Activated Calculator

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Voice Activated Calculator Shuab Khan Siddharth Yereddi

  2. Outline • Objectives • Design • Tests • Challenges • Conclusions

  3. Why Voice Activated? • Convenient • Marketable Consumer Device • Way of the Future • Applications

  4. Project Objectives • Speaker Independent • Performs Basic Calculations • Works in Natural Environment

  5. Design • Pre-filter and Preamplifier • Speech analysis on Digital Signal Processor (DSP) • Calculations on PIC microcontroller • Output displayed on LCD

  6. Microphone (Input) Analog Filter (90Hz – 5 kHz) Amplifier Gain Factor: 450 V/V Speech Detection and Recognition (DSP) Digital Filter (300Hz – 5kHz) (DSP) PIC Microcontroller LCD Display Realtime System

  7. Testing

  8. Preamplifier Test Measured Gain = 450 V/V

  9. Prefilter Simulated Frequency Response 6 kHz [cutoff]

  10. Pre-Filter Test – 2V input

  11. Digital Highpass Filter

  12. Digital Lowpass Filter

  13. Endpoint Detection

  14. Noisy Signal

  15. Accuracy vs Noise

  16. Anagrams • Spectrum ------> Cepstrum • Filtered ------> Liftered • Frequency ------> Quefrency

  17. Speech Recognition – MFCC’s

  18. Speech Recognition - Liftering

  19. Speech Recognition – LPCC’s

  20. TI Fixed Point DSP

  21. Issues on DSP • Memory limit • Overflow handling • Quantization Errors • Processing Time • Environment Noise Level

  22. Future Developments • Floating Point DSP • External Memory Chip • Larger Training Data

  23. Questions??? ?

More Related