[V2S200D Voice Vibration Sensor Evaluation Kit Review] Various Field Environment Sound Tests

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[V2S200D Voice Vibration Sensor Evaluation Kit Review] Various Field Environment Sound Tests [Copy link]

The V2S200D voice and vibration sensor evaluation kit can evaluate a very wide range of tests.

This time, the evaluation was conducted in multiple field environments to see how effective it is.

1. Bustling coffee shop

Honestly, coffee shops shouldn’t be crowded. But now coffee shops have become lively markets:

Noise reduction balance processing results:

2. The ravine with gurgling water

I just wanted to relax and go to the mountains on the weekend, so I took this opportunity to test the situation in the stream environment:

The result after noise reduction balance:

3. Bustling streets

The street is also a very common noisy environment. Let’s go to the street to collect sound data:

The result after noise reduction balance:

4. The bustling vegetable market

Early in the morning on the weekend, I took the opportunity to buy groceries and tested it at the vegetable market:

The result after noise reduction balance:

5. The bustling train station square

Passing by the train station on the way, it is also a very noisy environment, so it is a good time to test it:

The result after noise reduction balance:

6. Results Analysis

Judging from the test results of the above five on-site environments, the environmental noise in each environment is different, some are relatively gentle, and some are more intense, as can be seen from the spectrum diagram.

Looking directly at the raw data, you can see that the human voice is mixed in with the background noise, and in most cases, it is basically impossible to distinguish.

After noise reduction processing and balancing, the human voice is well separated and strengthened, and the noise suppression is very obvious.

It can be heard from the audio before and after actual playback that even in a noisy environment, after processing, there is a slight noise, but the human voice is very obvious and the distinction is very, very high.

Therefore, in actual environments, the data obtained by the V2S sensor, after processing, can better pick up the speaking voice and suppress other sounds.