BEIJING, April 25, 2023 /PRNewswire/––WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today disclosed a highly reliable silent speech recognition system based on multi-featured signal perception technology. The system can convert electrical signals from body or laryngeal vocal cord movements into speech through silent reading or body movement recognition. The system can decipher what a person wants to say without the user's voice command, thus enriching the human-computer interaction scenario of "machine understanding human language."
Voice recognition technology is the hands-free interface mode for VR applications but it has several drawbacks. For example, it has limited availability in noisy environments or public places and for those who cannot speak loudly and clearly. Therefore, WiMi developed this system to enable silent speech recognition by using limb movements or facial electromyography in a holographic AR environment. First, the system acquires holographic EMG signal data or vocal fold vibration signal data presented by a person's face or limbs and then preprocesses the two data types obtained separately. After feature extraction and fusion, the system uses deep learning to perform recognition sequentially and finally sends the recognized command results to the receiving device or the controlled device.
To improve the system's accuracy for signal classification at a distance, WiMi developed a deep neural network-based classification method using an SSR system with fEMG in a holographic environment. The technique uses similar fEMG data previously collected from other individuals and then transformed by holographic dynamic position distortion. When a person is in a state of speech or silent thinking, the vocalization-related limb muscles are affected by the brain's output nerves, which produce different activity states corresponding to the other contents to be represented by the brain. The system performs voiced or unvoiced speech recognition and acquires brain information by collecting surface EMG signals from limb or vocal muscles, processing and recognizing them. For feature recognition, the system uses independent CNNs to learn the features of each channel signal. The developers designed three structures: a 1D convolutional network, a 2D convolutional network, and a parallel convolutional network, configured the network model parameters, and optimized the network model structure. The developers used Support Vector Machine, Random Forest, k-Nearest Neighbor, and Hidden Markov Model for machine learning. The model parameters are continuously optimized during training and recognition.
WiMi's system combines holographic visual information and facial or limb EMG information to achieve silent speech recognition. WiMi expects that this system will contribute to the further development of speech recognition technology and provide new ideas and methods for speech recognition.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
Safe Harbor Statements
This press release contains "forward-looking statements" within the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," and similar statements. Statements that are not historical facts, including statements about the Company's beliefs and expectations, are forward-looking statements. Among other things, the business outlook and quotations from management in this press release and the Company's strategic and operational plans contain forward−looking statements. The Company may also make written or oral forward−looking statements in its periodic reports to the US Securities and Exchange Commission ("SEC") on Forms 20−F and 6−K, in its annual report to shareholders, in press releases, and other written materials, and in oral statements made by its officers, directors or employees to third parties. Forward-looking statements involve inherent risks and uncertainties. Several factors could cause actual results to differ materially from those contained in any forward−looking statement, including but not limited to the following: the Company's goals and strategies; the Company's future business development, financial condition, and results of operations; the expected growth of the AR holographic industry; and the Company's expectations regarding demand for and market acceptance of its products and services.
Further information regarding these and other risks is included in the Company's annual report on Form 20-F and the current report on Form 6-K and other documents filed with the SEC. All information provided in this press release is as of the date of this press release. The Company does not undertake any obligation to update any forward-looking statement, except as required under applicable laws.
View original content:https://www.prnewswire.com/news-releases/wimi-releases-a-highly-reliable-silent-speech-recognition-system-based-on-multi-featured-signal-sensing-technology-301806533.html
SOURCE WiMi Hologram Cloud Inc.
