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Microphone array Raymond Sastraputera.

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Presentation on theme: "Microphone array Raymond Sastraputera."— Presentation transcript:

1 Microphone array Raymond Sastraputera

2 Overview Introduction Implementation Experimentation Conclusion
Problem Solution Implementation Experimentation Conclusion

3 Introduction (Problem)
Signal coming to a microphone Speech signal Noise signal Good signal consist of High speech signal Low noise signal

4 Introduction (Solution)
Microphone array Beam forming theory VAD Cross correlation Ref(1)

5 Implementation Matlab Data source Examine(file) Combine(file)
VAD(file) Data source Ref(2)

6 Samples in the Project Microphone array signal Position 1 2 3 4 5 6 7
8 Microphone Array 100 cm 7 cm Microphone Speaker 1 3 4 5 6 7 8 2

7 Beam forming Theory delay travel distance Microphone Source

8 Microphone array output
Known source position Easily combine Unknown Approximate the position VAD Combine

9 VAD Uses two size window Based on energy change Small Large
Small window > large window

10 VAD

11 Cross correlation Obtaining delay in aligning several signals Mid max

12 Extra Solution Simulate the position of source
Std array of the signals Lowest std = perfect alignment Speaker y 1 2 3 4 5 6 7 8 Microphone Array 7 cm Microphone

13 Result of Comparison Microphone array output .wav sound
Speech voice enhanced Noise signal is reduced Delay calculation Actual Approximation cross correlation extra solution 1 mid2m1 100 50 y 24.5 28

14 Conclusion and Summary
1. Microphone array enhance or amplify the speech signal (from a single source) and decrease the effect of the noise or other speech signal. 2. Beam forming theory works well if the distance between microphone is much smaller than the distance to the signal source. In this experiment, because the ration of the distance is not that much, the error rate is pretty high.

15 Reference 1. Weinstein, Eugene. “LOUD: A 1020-NODE MICROPHONE ARRAY AD ACOUSTIC BEAMFORMER”. Courant institute of Mathematical Science. Ed. Kenneth Steele. Tilera Corporation. Anant Agarwal, and James Glass. MIT Copmuter Science and Artificial Intelligence Laboratory. 2. Campbell, Davik K. “Adaptive Beamforming Using a Microphone Array for Hands-Free Telephony.” LOUD: A 1020-NODE MICROPHONE ARRAY AD ACOUSTIC BEAMFORMER”. February 16, Blacksburg, Virginia. 3. multi-microphone data recorded by Tom Sullivan at Carnegie Mellon University

16 Thank you Any Questions?


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