Whether you're in the car, in a conference room or in your living room - if you're using technology to communicate, you don't want to shout. Philips BeClear Speech Enhancement algorithms deliver clear voice signal even in the noisiest environments enabling you to have a natural conversation or use voice commands to interact with your devices.
Based on over 20 years of experience in speech enhancement, Philips BeClear is a flexible solution that can be easily tailored to your specific application or product. In addition to the software license and application libraries, customers also receive assistance on implementing the software for their customer platform and tuning the algorithms to deliver the best performance on each device.
BeClear Speech Enhancement
Our mobile devices enable us to stay connected, wherever we are. But using our phones or wearables in noisy environments can be a challenge.
We also increasingly use our mobile phones in speaker mode, held at arm’s length, for video calls or to let others join in on the call. And this will only increase with wearable devices such as smartwatches.
Due to their size, wearable devices are also driving a growing demand for voice input and control. The devices need to be able to recognize commands reliably to be able to execute them without the user needed to repeat them several times.
Whether using voice control or making a call, the BeClear Speech Enhancement algorithm ensures clear, relaxed and effortless communication.
In the smart home, there is also a trend towards increased voice interaction and control of our devices. We will no longer need to search for the remote control, we can just tell the television to switch channels or play the latest episode of our favorite show.
Because of their centralized position in the Smart Home, this means that these devices need to be able to capture our voices at distances larger than 5m.
Using voice control, the BeClear Speech Enhancement algorithm ensures clear, relaxed and effortless interactions.
We still spend a lot of time on the road. Hands-free calling enables us to stay in touch while in the car. There is also is a growing demand for using voice commands to operate the smart features in our car, from programming the GPS to making a call or changing the radio station. Voice control is much safer than fiddling with controls or trying to type in a phone number while driving.
Current voice recognition engines in in-car entertainment system work quite well when the car is not moving. But the noise in and around the car is severe and this makes it hard to recognize speech. With BeClear Speech Enhancement, voice recognition and calling in the noisy car environment are like a face to face conversation, relaxed and effortless.
Super de-reverberation When the person speaking is far away from the microphone, sound reflected from the walls of the room can create an annoying echo effect called reverberation.
BeClear super de-reverberation deploys a non-traditional method of removing reverberation from the signal, extending the range of Far Field communication up to 5 meters and beyond.
Ideally, only sound coming directly from the person speaking should be captured. Removing the reflected sounds can therefore improve the sound quality. However, our unique solution exploits certain reflections to boost the direct sound level enabling people far from the microphone to be heard clearly without having to raise their voice.
Multi-channel echo cancellation Echo cancellation is a major challenge for small form factor devices where the speakers and microphones are closely spaced in the same housing. And today’s mobile devices often have multiple speakers and microphones making the challenge even greater.
BeClear is the only solution currently on the market capable of full duplex, multi-channel echo cancellation.
Fast tracking beamforming Beamforming is widely used to focus the microphones on the speaker to perform noise suppression and other voice enhancements. However if the speaker moves, the beam can have a hard time tracking the speaker, in particular at larger distances, leading to loss of quality.
Fast tracking beamforming continuously focuses the device’s microphones on the person speaking for superior Dynamic Noise Suppression
– Allows for multiple beams in parallel
– Regardless of movement of device and/or person(s) speaking
Dynamic Noise suppression There are many different types of background noise that should be removed to clearly hear the person speaking.BeClear provides simple parameters that allow the algorithm to be optimized for the best subjective performance.
Dynamic Noise suppression accurately identifies and removes background noises to leave only the sound of the person speaking for clearer conversations
*12% better than competition on standardized 3QUEST test
Far-end signal enhancements Many of the enhancements affect the quality of the captured voice signal. To ensure clear communication for the user as well as the call recipient, BeClear includes a range of Far-end signal enhancements to improve the local user experience.
Smart far-end signal enhancements improve the clarity of incoming voice calls to improve the user’s experience of your product
– Reduces reverberation components
– Optimized to prevent tandem effects
Experience how our noise suppression can almost completely remove background noise.
Noise Suppression
In the example below you can experience how Philips noise suppression is able to almost completely remove the background noise. In the examples the (unprocessed) microphone signal is provided as well as the processed output. Suppression is set to 30dB. Different types and levels of noise are added.
Babble noise
Noise level | Microphone input | After processing |
50 dB | | |
60 dB | | |
Stationary Noise
Noise level | Microphone input | After processing |
50 dB | | |
60 dB | | |
De-reverberation
In the example below you can experience how Philips de-reverberation suppresses the reverberant echoes. In the example the (unprocessed) microphone signal is provided as well as the processed output. The user is at a 4 meter distance in a room with a reverberation time T60 = 800ms.
Microphone input | After processing |
| |
AEC Double talk performance
In the example below you can experience how the Philips Acoustic Echo Canceller is able to maintain full duplex. In the example the (unprocessed) microphone signal is provided as well as the processed output. You will hear that the echo resulting from the far-end (female) voice is suppressed in the processed signal whereas the near-end (male) voice remains intelligible without in double talk. The users are at a 4 meter distance in a room with a reverberation time T60 = 800ms. The far end loudspeaker is at a (center-center) distance of 60cm from the microphone array. Note that AEC results are very tightly connected to the microphone and speaker configuration in the product design.
Microphone input | After processing |
| |
BeClear SuperHandsFree (SHF) provides high quality, clear speech for speech recognition and communication at larger distances, even in noisy environments.
Visit our Amazon Partner page
You are about to visit a Philips global content page
Continue