Introduction
With the explosion of science and technology, technology always changes every day, every hour. Hardware devices are no exception, always being improved to help increase the user experience. But technically, hardware alone has stagnated due to production constraints and the decline of groundbreaking new inventions. Therefore, now developers and engineers have integrated software into hardware as an innovative solution with many outstanding advantages. Among them is the integration of artificial intelligence into the device's processor such as the integration of AI (Artificial Intelligence) application into the headset mic to solve ambient noise cancellation.
This technology solution is most commonly applied in Call center headsets, due to the characteristics of a noisy working environment but requires good sound quality at both ends of the call. Therefore, the call center headset with active noise-cancelling AI technology microphone has become a close companion, effectively supporting consultants, switchboards, and telesales staff in their work.
Headsets with built-in noise canceling microphone AI technology
Noise canceling headphones are headphones that are capable of blocking noise from the surrounding environment, processing sound through many stages; including from the input stage, processing the sounds from the chip and outputting the sound to the listener's ears, helping to provide clear, clear sound without mixing noise. Widely used in noisy environments such as: Telesales department, technical support department, CSkh department,...
Main components of the headsets with built-in AI noise canceling microphone
Specifications of Call Center headsets
- Hearing Protection: 118 dBA SPL
- Speaker Size: 28
- Speaker maximum input power: 50mW
- Speaker Sensitivity: 107±3dB
- Speaker frequency range: 100Hz~6.8KHz
- Microphone direction: ENC Dual Mic Array Omni-Directional
- Microphone sensitivity: -40±3dB@1KHz
- Microphone frequency range: 100Hz ~ 8KHz
- Answer/end calls, Mute, Volume: Can mute, turnthe volume up or down, control answer/mute calls in Microsoft Teams.
- Style: Wear on the head
- Microphone boom rotation angle: 320°, flexible
- Headband/ear cushion: Foam/leather
- Connect to: Desktop phone, Desktop computer, Laptop
- Connection type: USB-A (HU812-A, HU811-A), USB-C (HU812-C, HU811-C)
- Cable length: 85cm
- Package: USB Headset, User Manual, Ear Cushion
- Carton box size: 190*153*40mm
- Weight (gross/net): 115g
- Working temperature: -5°C~45°C
The headset's overall mechanism of operation
When a conversation is started between the caller and the listener, the speaker's sound is transmitted to the internal microphone to receive the speaker's sound. Next, the external microphone will pick up the outside noises and these two audio streams will be sent to the chip inside the headset. Finally, the chip filters out what audio needs to reach the listener's ear, transmit it to the transmitter, and reach the listener's ear.
Mechanism for microphone sound transmission
Unidirectional Micro: Called directional microphones, Unidirectional Micro only capture the best sound in certain directions, depending on the microphone's design model.
Omnidirectional micro: Capable of capturing sound from all directions around the microphone: left, right, top, bottom, front, back.
When the speaker transmits the main sound, it will go into the Unidirectional Microphone, this microphone picks up sound in a small area, so it will limit other sounds from this mic. At the same time, the Omnidirectional microphone will pick up the sound outside the environment. This microphone has a wide pickup direction, which will capture all the outside sound. Then these two audio streams will lead to the chip, for the chip to handle.
The chip's audio processing system analyzed the audio from the two microphones.
The chip will receive two audio streams from two microphones: Unidirectional and Omnidirectional. With AI equipped, Chip will recognize which sound stream is coming from the speaker and which sound will be outside the environment. After processing is done, extracting which audio stream will reach the listener, it is transferred to the communication device through the jack and to the listener.
Headsets input sound processing mechanism
The DQN HU810 headset uses a wideband audio speaker (loads multiple sounds and plays at the same time), with magnets designed to match the frequency of the human voice (specializing in speech frequencies 100Hz~6.8KHz). ), making the speaker sound clear and varied in intonation.
Compare two headsets DQN HU810 and VT5009
Model | DQN HU810 | VT5009 |
|---|---|---|
Overall image |  |  |
Speaker sensitivity | 107±3dB | 98±3dB |
Speaker frequency range | 100Hz～6.8KHz | 300Hz~6.8KHz |
Wide sound range | Yes | No |
Microphone direction | ENC Dual Mic Array Omni-Directional | Cardioid |
Number of micro | 2 | 1 |
Noise cancellation | 99% | 70%~80% |
Microphone sensitivity | -38±3dB@1KHz | -41±3dB |
Micro frequency range | 100Hz～8KHz | 300~3.4 kHz |
Call answer/hang up button, mute microphone, adjust volume | Có | Có |
Controller |  |  |
Wearing style | Wear on the head | Wear on the head |
Mic Boom angle | 320° | 300° |
Adjust Mic Boom | Yes | Yes |
T-Pad Holder for Mono | Yes | No |
Ear cushions | Leather, interchangeable ear cushions | Leather, interchangeable ear cushions |
Connection Type | USB-A/USB-C | USB-A |
Weight | 48g/70g | 59.5g/85.3g |
The outstanding point of HU810 over VT5009 is about noise canceling microphone. Specifically, with the VT5009, it can only filter 70% → 80% due to using a microphone to take full responsibility for the sound processing of the speaker and the external environment. Meanwhile, HU810 uses 2 dual microphones and uses AI chipset SVC and ENC technology to perform calculations and evaluate which audio stream will reach the listener. From there, it helps to reduce up to 99% of ambient noise, providing outstanding sound quality.
Conclusion
Hopefully the article will help you understand the components and how the noise-handling DQN HU810 Call center headsets works. Wish you choose the best product.
