Patents by Inventor Jintao JIANG
Jintao JIANG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20210298711Abstract: A mobile device application prompts and conducts audio and/or video tests using a microphone on a smartphone, tablet or laptop in order to record and analyze a patient's speech, cough, breathing and other sounds in order to diagnose the patient with Covid 19, another ailment, or as having normal ranges not indicative of disease. The mobile device's tests and protocols use program instructions, AI processing and other automated tools to facilitate the speed and reliability of the testing.Type: ApplicationFiled: March 25, 2021Publication date: September 30, 2021Applicant: Applications Technology (AppTek), LLCInventors: Shahnaz MIRI, Yasar Torres YAGHI, Fernando PAGAN, Mudar YAGHI, Sanjeev KHUDANPUR, Jan TRMAL, Hassan SAWAF, Jintao JIANG, Mazda EBRAHIMI
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Publication number: 20210100453Abstract: A system for determining whether a user has a concussion includes: a mobile device including a camera, microphone, display, an application program running on the mobile device, and a network connection, and a back end processing server, the mobile device further including a processor that is configured to execute program instructions associated with the application that cause the mobile device to: collect audio in response to specific questions from the user using the microphone, and transmit the audio to the back end processing server, and wherein the back end processing server configured to execute program instructions to: receive the audio stream from the user, store the audio stream, process the audio stream to recognize speech within the audio stream, and compare parameters associated with the speech recognition with prior speech for the user collected on a prior occasion in response to the same questions.Type: ApplicationFiled: December 17, 2020Publication date: April 8, 2021Applicant: Applications Technology (AppTek), LLCInventors: Mudar YAGHI, Yasar YAGHI, Darius FERDOWS, Jintao JIANG
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Patent number: 10939821Abstract: A mobile device is programmed with an application that uses the mobile device's camera, accelerometer and microphone to enable a parent, coach or player to use it as a tool to diagnose a concussion. The tool may diagnose concussion on the basis of one or multiple factors that are scored, for example the player's balance, eye movement, speech responses to questions, button pressing response time, and other information about the location of the impact. A mobile device may be equipped with speech recognition and voice prompting to enable a concussion examination of a player to be administered by another player or coach to the injured player without significant effort by the injured player or helper. Each test may be scored, by itself or against one or more baselines for the injured player to develop an overall score and likelihood of a concussion. When the coach thinks there is a concussion, he/she can use the application to help find a doctor.Type: GrantFiled: March 20, 2018Date of Patent: March 9, 2021Assignee: Applications Technology (AppTek), LLCInventors: Mudar Yaghi, Yasar Yaghi, Darius Ferdows, Jintao Jiang
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Publication number: 20200226327Abstract: A system for translating speech from at least two source languages into another target language provides direct speech to target language translation. The target text is converted to speech in the target language through a TTS system. The system simplifies speech recognition and translation process by providing direct translation, includes mechanisms described herein that facilitate mixed language source speech translation, and punctuating output text streams in the target language. It also in some embodiments allows translation of speech into the target language to reflect the voice of the speaker of the source speech based on characteristics of the source language speech and speaker's voice and to produce subtitled data in the target language corresponding to the source speech. The system uses models having been trained using (i) encoder-decoder architectures with attention mechanisms and training data using TTS and (ii) parallel text training data in more than two different languages.Type: ApplicationFiled: January 13, 2020Publication date: July 16, 2020Applicant: Applications Technology (AppTek), LLCInventors: Evgeny MATUSOV, Jintao JIANG, Mudar YAGHI
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Patent number: 10235991Abstract: A hybrid frame, phone, diphone, morpheme, and word-level Deep Neural Networks (DNN) in model training and applications-is based on training a regular ASR system, which can be based on Gaussian Mixture Models (GMM) or DNN. All the training data (in the format of features) are aligned with the transcripts in terms of phonemes and words with the timing information and new features are formed in terms of phonemes, diphones, morphemes, and up to words. Regular ASR produces a result lattice with timing information for each word. A feature is then extracted and sent to the word-level DNN for scoring Phoneme features are sent to corresponding DNNs for training. Scores are combined to form the word level scores, a rescored lattice and a new recognition result.Type: GrantFiled: August 9, 2017Date of Patent: March 19, 2019Assignee: AppTek, Inc.Inventors: Jintao Jiang, Hassan Sawaf, Mudar Yaghi
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Publication number: 20180263496Abstract: A mobile device is programmed with an application that uses the mobile device's camera, accelerometer and microphone to enable a parent, coach or player to use it as a tool to diagnose a concussion. The tool may diagnose concussion on the basis of one or multiple factors that are scored, for example the player's balance, eye movement, speech responses to questions, button pressing response time, and other information about the location of the impact. A mobile device may be equipped with speech recognition and voice prompting to enable a concussion examination of a player to be administered by another player or coach to the injured player without significant effort by the injured player or helper. Each test may be scored, by itself or against one or more baselines for the injured player to develop an overall score and likelihood of a concussion. When the coach thinks there is a concussion, he/she can use the application to help find a doctor.Type: ApplicationFiled: March 20, 2018Publication date: September 20, 2018Applicant: Apptek, Inc.Inventor: Jintao JIANG
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Patent number: 10074363Abstract: Phoneme images are created for keywords and audio files. The keyword images and audio file images are used to identify keywords within the audio file when the phoneme images match. Confidence scores may be determined corresponding to the match. Audio around the keywords may be stored and processed with an automatic speech recognition (ASR) program to verify the keyword match and provide textual and audio context to where the keyword appears within speech.Type: GrantFiled: November 11, 2016Date of Patent: September 11, 2018Assignee: Apptek, Inc.Inventors: Jintao Jiang, Mudar Yaghi
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Publication number: 20180047385Abstract: An approach of hybrid frame, phone, diphone, morpheme, and word-level Deep Neural Networks (DNN) in model training and applications is described. The approach can be applied to many applications. The approach is based on a regular ASR system, which can be based on Gaussian Mixture Models (GMM) or DNN. In the first step, a regular ASR model is trained. All the training data (in the format of features) are aligned with the transcripts in terms of phonemes and words with the timing information. Feature normalization can be applied for these new features. Based on the alignment timing information, new features are formed in terms of phonemes, diphones, morphemes, and up to words. A first pass regular speech recognition is performed, and the result lattice is produced. In the lattice, there is the timing information for each word. A feature is then extracted and sent to the word-level DNN for scoring.Type: ApplicationFiled: August 9, 2017Publication date: February 15, 2018Applicant: Apptek, Inc.Inventors: Jintao JIANG, Hassan SAWAF, Mudar YAGHI
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Publication number: 20170133038Abstract: Phoneme images are created for keywords and audio files. The keyword images and audio file images are used to identify keywords within the audio file when the phoneme images match. Confidence scores may be determined corresponding to the match. Audio around the keywords may be stored and processed with an automatic speech recognition (ASR) program to verify the keyword match and provide textual and audio context to where the keyword appears within speech.Type: ApplicationFiled: November 11, 2016Publication date: May 11, 2017Applicant: Apptek, Inc.Inventors: Jintao JIANG, Mudar YAGHI