Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

1Introduction

Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

To avoid the interference of unexpected background noise and obtain high-fidelity voice signals, voice recognition urgently requires acoustic sensors with high sensitivity, flat frequency response, and high signal-to-noise ratio (SNR). Graphene oxide (GO) has gained widespread attention due to its controllable thickness and high tensile strength. However, low mechanical sensitivity (SM) caused by undesirable initial stress limits the performance of GO materials in the field of voice recognition. To alleviate the above issues, this paper, authored by Associate Professor Li Cheng from Beihang University and Professor Lv Ruitao from Tsinghua University, published in the journal Nano Res, titled “Ultra-high sensitivity fiber optic microphone with corrugated graphene-oxide diaphragm for voice recognition”, presents a GO diaphragm with annular corrugations. The manufacturing and transfer of the corrugated GO diaphragm were achieved through a reusable copper mold processed by picosecond laser, thus realizing the Fabry-Pérot (F-P) acoustic sensor.

Thanks to the structural advantages of the corrugated GO diaphragm, the F-P acoustic sensor exhibits high SM (43.70 nm/Pa@17 kHz), a flat frequency response (-3.2 to 3.7 dB within 300-3500 Hz), and a high SNR (76.66 dB@1 kHz). In addition, further acoustic measurements have demonstrated other advantages, including excellent frequency detection resolution (0.01 Hz) and high temporal stability (less than 6.7% relative change in output over 90 minutes). Given the above advantages, the F-P acoustic sensor with the corrugated GO diaphragm can serve as a high-fidelity platform for acoustic detection and voice recognition. Combined with a deep residual learning framework, the data recorded by the prepared F-P acoustic sensor achieved a high recognition accuracy of 98.4% through training and testing.

2Illustrated Guide

Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

Figure 1: Schematic diagram of the manufacturing process of the corrugated graphene oxide F-P acoustic sensor

Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

Figure 2: Structure of the proposed sensor and selection of optimal parameters for corrugation

Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

Figure 3: Characteristics of the proposed sensor

Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

Figure 4: Acoustic test results of the sensor

Ultra-High Sensitivity Fiber Optic Microphone with Corrugated Graphene Diaphragm for Voice Recognition

Figure 5: Voice detection and recognition performance of the sensor

3Conclusion

This article proposes a fiber optic microphone with ultra-high sensitivity based on a corrugated graphene oxide diaphragm. Due to the introduction of a corrugated structure in the GO diaphragm, the resulting F-P acoustic sensor exhibits high SM (43.70 nm/Pa@ 17 kHz), flat frequency response (within 300 – 3500 Hz -3.2 to 3.7 dB), and high SNR (76.66 dB@1 kHz). Additionally, other extraordinary acoustic sensing performances were tested, including high temporal stability (6.7% over 90 minutes) and excellent frequency detection resolution (0.01 Hz). Furthermore, by combining the F-P acoustic sensor based on the corrugated graphene oxide diaphragm with a 152-layer residual CNN model, the overall recognition accuracy reached 98.4%, surpassing commercial microphones. These results indicate the application potential of the F-P acoustic sensor based on the corrugated graphene oxide diaphragm in weak sound sensing and voice recognition.

References:

https://doi.org/10.1007/s12274-024-6686-2

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Source: The article is from the Nano Res website, organized and edited by Materials Analysis and Applications.

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