Patents Assigned to Applications Technology (AppTek), LLC
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Patent number: 11302300Abstract: A system and method enable one to set a target duration of a desired synthesized utterance without removing or adding spoken content. Without changing the spoken text, the voice characteristics may be kept the same or substantially the same. Silence adjustment and interpolation may be used to alter the duration while preserving speech characteristics. Speech may be translated prior to a vocoder step, pursuant to which the translated speech is constrained by the original audio duration, while mimicking the speech characteristics of the original speech.Type: GrantFiled: November 19, 2020Date of Patent: April 12, 2022Assignee: Applications Technology (AppTek), LLCInventors: Nick Rossenbach, Mudar Yaghi
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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: 20210151028Abstract: A system and method enable one to set a target duration of a desired synthesized utterance without removing or adding spoken content. Without changing the spoken text, the voice characteristics may be kept the same or substantially the same. Silence adjustment and interpolation may be used to alter the duration while preserving speech characteristics. Speech may be translated prior to a vocoder step, pursuant to which the translated speech is constrained by the original audio duration, while mimicking the speech characteristics of the original speech.Type: ApplicationFiled: November 19, 2020Publication date: May 20, 2021Applicant: Applications Technology (AppTek), LLCInventors: Nick ROSSENBACH, Mudar YAGHI
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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: 20200364402Abstract: A subtitle segmentation system employs a neural network model to find good segment boundaries. The model may be trained on millions of professionally segmented subtitles, and implicitly learns from data the underlying guidelines that professionals use. For controlling different characteristics of the output subtitles, the neural model may be combined with a number of heuristic features. To find the best segmentation according to the model combination, a dedicated beam search decoder may be implemented. The segmentation system incorporates a trained neural model comprising a word embedding layer, at least two bi-directional LSTM layers, a softmax layer and program instructions for segmenting text into subtitles.Type: ApplicationFiled: May 18, 2020Publication date: November 19, 2020Applicant: Applications Technology (AppTek), LLCInventors: Patrick WILKEN, Evgeny MATUSOV
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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