Patents by Inventor Monika Almudafar-Depeyrot
Monika Almudafar-Depeyrot 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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Patent number: 11531819Abstract: Machine learned models take in vectors representing desired behaviors and generate voice vectors that provide the parameters for text-to-speech (TTS) synthesis. Models may be trained on behavior vectors that include user profile attributes, situational attributes, or semantic attributes. Situational attributes may include age of people present, music that is playing, location, noise, and mood. Semantic attributes may include presence of proper nouns, number of modifiers, emotional charge, and domain of discourse. TTS voice parameters may apply per utterance and per word as to enable contrastive emphasis.Type: GrantFiled: January 14, 2020Date of Patent: December 20, 2022Assignee: SoundHound, Inc.Inventors: Bernard Mont-Reynaud, Monika Almudafar-Depeyrot
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Publication number: 20220148566Abstract: Machine learned models take in vectors representing desired behaviors and generate voice vectors that provide the parameters for text-to-speech (TTS) synthesis. Models may be trained on behavior vectors that include user profile attributes, situational attributes, or semantic attributes. Situational attributes may include age of people present, music that is playing, location, noise, and mood. Semantic attributes may include presence of proper nouns, number of modifiers, emotional charge, and domain of discourse. TTS voice parameters may apply per utterance and per word as to enable contrastive emphasis.Type: ApplicationFiled: January 20, 2022Publication date: May 12, 2022Applicant: SoundHound, Inc.Inventors: Bernard Mont-Reynaud, Monika Almudafar-Depeyrot
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Publication number: 20200410983Abstract: A virtual assistant device recognizes multiple wake-up phrases. In response to a particular wake-up phrase the device sends speech audio to either a default or a third party virtual assistant server. A virtual assistant server can receive speech audio and an indication of which of multiple wake-up phrases was used and, accordingly, send the speech audio, or text recognized from the speech audio using automatic speech recognition, to a third party server. A response from the third party server can be voice audio or text for the virtual assistant server to synthesize distinctively corresponding to the wake-up phrase.Type: ApplicationFiled: September 16, 2020Publication date: December 31, 2020Applicant: SoundHound, Inc.Inventors: Keyvan Mohajer, Mark Stevans, Monika Almudafar-Depeyrot
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Patent number: 10783872Abstract: A speech-enabled dialog system responds to a plurality of wake-up phrases. Based on which wake-up phrase is detected, the system's configuration is modified accordingly. Various configurable aspects of the system include selection and morphine of a text-to-speech voice; configuration of acoustic model, language model, vocabulary, and grammar; configuration of a graphic animation; configuration of virtual assistant personality parameters; invocation of a particular user profile; invocation of an authentication function; and configuration of an open sound. Configuration depends on a target market segment. Configuration also depends on the state of the dialog system, such as whether a previous utterance was an information query.Type: GrantFiled: January 13, 2019Date of Patent: September 22, 2020Assignee: SoundHound, Inc.Inventors: Monika Almudafar-Depeyrot, Keyvan Mohajer, Mark Stevans
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Publication number: 20200151394Abstract: Machine learned models take in vectors representing desired behaviors and generate voice vectors that provide the parameters for text-to-speech (TTS) synthesis. Models may be trained on behavior vectors that include user profile attributes, situational attributes, or semantic attributes. Situational attributes may include age of people present, music that is playing, location, noise, and mood. Semantic attributes may include presence of proper nouns, number of modifiers, emotional charge, and domain of discourse. TTS voice parameters may apply per utterance and per word as to enable contrastive emphasis.Type: ApplicationFiled: January 14, 2020Publication date: May 14, 2020Applicant: SoundHound, Inc.Inventors: Bernard Mont-Reynaud, Monika Almudafar-Depeyrot
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Patent number: 10586079Abstract: Software-based systems perform parametric speech synthesis. TTS voice parameters determine the generated speech audio. Voice parameters include gender, age, dialect, donor, arousal, authoritativeness, pitch, range, speech rate, volume, flutter, roughness, breath, frequencies, bandwidths, and relative amplitudes of formants and nasal sounds. The system chooses TTS parameters based on one or more of: user profile attributes including gender, age, and dialect; situational attributes such as location, noise level, and mood; natural language semantic attributes such as domain of conversation, expression type, dimensions of affect, word emphasis and sentence structure; and analysis of target speaker voices. The system chooses TTS parameters to improve listener satisfaction or other desired listener behavior. Choices may be made by specified algorithms defined by code developers, or by machine learning algorithms trained on labeled samples of system performance.Type: GrantFiled: January 13, 2017Date of Patent: March 10, 2020Assignee: SOUNDHOUND, INC.Inventors: Monika Almudafar-Depeyrot, Bernard Mont-Reynaud
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Publication number: 20190147850Abstract: A virtual assistant device recognizes multiple wake-up phrases. In response to a particular wake-up phrase the device sends speech audio to either a default or a third party virtual assistant server. A virtual assistant server can receive speech audio and an indication of which of multiple wake-up phrases was used and, accordingly, send the speech audio, or text recognized from the speech audio using automatic speech recognition, to a third party server. A response from the third party server can be voice audio or text for the virtual assistant server to synthesize distinctively corresponding to the wake-up phrase.Type: ApplicationFiled: January 13, 2019Publication date: May 16, 2019Applicant: SoundHound, Inc.Inventors: Monika Almudafar-Depeyrot, Keyvan Mohajer, Mark Stevans
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Patent number: 10217453Abstract: A speech-enabled dialog system responds to a plurality of wake-up phrases. Based on which wake-up phrase is detected, the system's configuration is modified accordingly. Various configurable aspects of the system include selection and morphing of a text-to-speech voice; configuration of acoustic model, language model, vocabulary, and grammar; configuration of a graphic animation; configuration of virtual assistant personality parameters; invocation of a particular user profile; invocation of an authentication function; and configuration of an open sound. Configuration depends on a target market segment. Configuration also depends on the state of the dialog system, such as whether a previous utterance was an information query.Type: GrantFiled: October 14, 2016Date of Patent: February 26, 2019Assignee: SoundHound, Inc.Inventors: Mark Stevans, Monika Almudafar-Depeyrot, Keyvan Mohajer
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Publication number: 20180182373Abstract: Software-based systems perform parametric speech synthesis. TTS voice parameters determine the generated speech audio. Voice parameters include gender, age, dialect, donor, arousal, authoritativeness, pitch, range, speech rate, volume, flutter, roughness, breath, frequencies, bandwidths, and relative amplitudes of formants and nasal sounds. The system chooses TTS parameters based on one or more of: user profile attributes including gender, age, and dialect; situational attributes such as location, noise level, and mood; natural language semantic attributes such as domain of conversation, expression type, dimensions of affect, word emphasis and sentence structure; and analysis of target speaker voices. The system chooses TTS parameters to improve listener satisfaction or other desired listener behavior. Choices may be made by specified algorithms defined by code developers, or by machine learning algorithms trained on labeled samples of system performance.Type: ApplicationFiled: January 13, 2017Publication date: June 28, 2018Applicant: SoundHound, Inc.Inventors: Monika Almudafar-Depeyrot, Bernard Mont-Reynaud
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Publication number: 20180108343Abstract: A speech-enabled dialog system responds to a plurality of wake-up phrases. Based on which wake-up phrase is detected, the system's configuration is modified accordingly. Various configurable aspects of the system include selection and morphing of a text-to-speech voice; configuration of acoustic model, language model, vocabulary, and grammar; configuration of a graphic animation; configuration of virtual assistant personality parameters; invocation of a particular user profile; invocation of an authentication function; and configuration of an open sound. Configuration depends on a target market segment. Configuration also depends on the state of the dialog system, such as whether a previous utterance was an information query.Type: ApplicationFiled: October 14, 2016Publication date: April 19, 2018Inventors: Mark Stevans, Monika Almudafar-Depeyrot, Keyvan Mohajer