Abrégé

In certain implementations, a system for facilitating voice commerce is provided. A user input comprising a natural language utterance related to a product or service to be purchased may be received. A first product or service that is to be purchased may be determined based on the utterance. First payment information that is to be used to purchase the first product or service may be obtained. First shipping information that is to be used to deliver the first product or service may be obtained. A purchase transaction for the first product or service may completed based on the first payment information and the first shipping information without further user input, after the receipt of utterance, that identifies a product or service type or a product or service, seller information, payment information, shipping information, or other information related to purchasing the first product or service .

Classes IPC  ?

• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel

Abrégé

The system and method described herein may use various natural language models to deliver targeted advertisements and/or provide natural language processing based on advertisements. In one implementation, an advertisement associated with a product or service may be provided for presentation to a user. A natural language utterance of the user may be received. The natural language utterance may be interpreted based on the advertisement and, responsive to the existence of a pronoun in the natural language utterance, a determination of whether the pronoun refers to one or more of the product or service or a provider of the product or service may be effectuated.

Classes IPC  ?

• G06Q 30/0251 - Publicités ciblées
• G06F 40/263 - Identification de la langue
• G06Q 30/0241 - Publicités
• G06Q 30/0242 - Détermination de l’efficacité des publicités
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 15/26 - Systèmes de synthèse de texte à partir de la parole

Abrégé

In certain implementations, a system for facilitating voice commerce is provided. A user input comprising a natural language utterance related to a product or service to be purchased may be received. A first product or service that is to be purchased may be determined based on the utterance. First payment information that is to be used to purchase the first product or service may be obtained. First shipping information that is to be used to deliver the first product or service may be obtained. A purchase transaction for the first product or service may completed based on the first payment information and the first shipping information without further user input, after the receipt of utterance, that identifies a product or service type or a product or service, seller information, payment information, shipping information, or other information related to purchasing the first product or service.

Classes IPC  ?

• G06Q 30/00 - Commerce
• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel

Abrégé

A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.

Classes IPC  ?

• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G10L 17/22 - Procédures interactivesInterfaces homme-machine
• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur
• G10L 21/0216 - Filtration du bruit caractérisée par le procédé d’estimation du bruit
• G10L 15/183 - Classement ou recherche de la parole utilisant une modélisation du langage naturel selon les contextes, p. ex. modèles de langage

Abrégé

A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.

Classes IPC  ?

• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G06F 40/30 - Analyse sémantique
• G10L 25/63 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G10L 17/22 - Procédures interactivesInterfaces homme-machine
• G10L 21/0216 - Filtration du bruit caractérisée par le procédé d’estimation du bruit
• G10L 15/183 - Classement ou recherche de la parole utilisant une modélisation du langage naturel selon les contextes, p. ex. modèles de langage
• G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur

Abrégé

A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.

Classes IPC  ?

• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G06F 40/30 - Analyse sémantique
• G10L 25/63 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G10L 17/22 - Procédures interactivesInterfaces homme-machine
• G10L 21/0216 - Filtration du bruit caractérisée par le procédé d’estimation du bruit
• G10L 15/183 - Classement ou recherche de la parole utilisant une modélisation du langage naturel selon les contextes, p. ex. modèles de langage
• G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur

Abrégé

A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.

Classes IPC  ?

• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 17/22 - Procédures interactivesInterfaces homme-machine
• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur
• G10L 15/183 - Classement ou recherche de la parole utilisant une modélisation du langage naturel selon les contextes, p. ex. modèles de langage
• G10L 21/0216 - Filtration du bruit caractérisée par le procédé d’estimation du bruit

Abrégé

The system and method described herein may use various natural language models to deliver targeted advertisements and/or provide natural language processing based on advertisements. In one implementation, an advertisement associated with a product or service may be provided for presentation to a user. A natural language utterance of the user may be received. The natural language utterance may be interpreted based on the advertisement and, responsive to the existence of a pronoun in the natural language utterance, a determination of whether the pronoun refers to one or more of the product or service or a provider of the product or service may be effectuated.

Classes IPC  ?

• G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
• G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
• G06F 40/263 - Identification de la langue
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel

Abrégé

In certain implementations, a system for facilitating voice commerce is provided. A user input comprising a natural language utterance related to a product or service to be purchased may be received. A first product or service that is to be purchased may be determined based on the utterance. First payment information that is to be used to purchase the first product or service may be obtained. First shipping information that is to be used to deliver the first product or service may be obtained. A purchase transaction for the first product or service may completed based on the first payment information and the first shipping information without further user input, after the receipt of utterance, that identifies a product or service type or a product or service, seller information, payment information, shipping information, or other information related to purchasing the first product or service.

Classes IPC  ?

• G06Q 30/00 - Commerce
• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine

Abrégé

The system and method described herein may use various natural language models to deliver targeted advertisements and/or provide natural language processing based on advertisements. In one implementation, an advertisement associated with a product or service may be provided for presentation to a user. A natural language utterance of the user may be received. The natural language utterance may be interpreted based on the advertisement and, responsive to the existence of a pronoun in the natural language utterance, a determination of whether the pronoun refers to one or more of the product or service or a provider of the product or service may be effectuated.

Classes IPC  ?

• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 15/26 - Systèmes de synthèse de texte à partir de la parole

Abrégé

In certain implementations, a system for facilitating voice commerce is provided. A user input comprising a natural language utterance related to a product or service to be purchased may be received. A first product or service that is to be purchased may be determined based on the utterance. First payment information that is to be used to purchase the first product or service may be obtained. First shipping information that is to be used to deliver the first product or service may be obtained. A purchase transaction for the first product or service may completed based on the first payment information and the first shipping information without further user input, after the receipt of utterance, that identifies a product or service type or a product or service, seller information, payment information, shipping information, or other information related to purchasing the first product or service.

Classes IPC  ?

• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine

Abrégé

The system and method described herein may use various natural language models to deliver targeted advertisements and/or provide natural language processing based on advertisements. In one implementation, an advertisement associated with a product or service may be provided for presentation to a user. A natural language utterance of the user may be received. The natural language utterance may be interpreted based on the advertisement and, responsive to the existence of a pronoun in the natural language utterance, a determination of whether the pronoun refers to one or more of the product or service or a provider of the product or service may be effectuated.

Classes IPC  ?

• G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
• G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique

Abrégé

A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.

Classes IPC  ?

• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G10L 17/22 - Procédures interactivesInterfaces homme-machine
• G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
• G10L 15/183 - Classement ou recherche de la parole utilisant une modélisation du langage naturel selon les contextes, p. ex. modèles de langage
• G10L 21/0216 - Filtration du bruit caractérisée par le procédé d’estimation du bruit

Abrégé

The system and method described herein may use various natural language models to deliver targeted advertisements and/or provide natural language processing based on advertisements. In one implementation, an advertisement associated with a product or service may be provided for presentation to a user. A natural language utterance of the user may be received. The natural language utterance may be interpreted based on the advertisement and, responsive to the existence of a pronoun in the natural language utterance, a determination of whether the pronoun refers to one or more of the product or service or a provider of the product or service may be effectuated.

Classes IPC  ?

• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
• G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique

Abrégé

The system and method described herein may use various natural language models to deliver targeted advertisements and track advertisement interactions in voice recognition contexts. In particular, in response to an input device receiving an utterance, a conversational language processor may select and deliver one or more advertisements targeted to a user that spoke the utterance based on cognitive models associated with the user, various users having similar characteristics to the user, an environment in which the user spoke the utterance, or other criteria. Further, subsequent interaction with the targeted advertisements may be tracked to build and refine the cognitive models and thereby enhance the information used to deliver targeted advertisements in response to subsequent utterances.

Classes IPC  ?

• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G10L 21/00 - Techniques de traitement du signal de parole ou de voix pour produire un autre signal audible ou non audible, p. ex. visuel ou tactile, afin de modifier sa qualité ou son intelligibilité
• G06Q 30/00 - Commerce
• G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
• G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds

Abrégé

A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.

Classes IPC  ?

• G10L 15/00 - Reconnaissance de la parole
• G10L 25/00 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G10L 15/183 - Classement ou recherche de la parole utilisant une modélisation du langage naturel selon les contextes, p. ex. modèles de langage
• G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur

Abrégé

The system and method described herein may use various natural language models to deliver targeted advertisements and track advertisement interactions in voice recognition contexts. In particular, in response to an input device receiving an utterance, a conversational language processor may select and deliver one or more advertisements targeted to a user that spoke the utterance based on cognitive models associated with the user, various users having similar characteristics to the user, an environment in which the user spoke the utterance, or other criteria. Further, subsequent interaction with the targeted advertisements may be tracked to build and refine the cognitive models and thereby enhance the information used to deliver targeted advertisements in response to subsequent utterances.

Classes IPC  ?

• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 11/00 - Détermination ou détection des caractéristiques de la parole ou des signaux audio qui ne se limitent pas à un seul des groupes ; G10L 15/00-G10L 21/00

Abrégé

A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.

Classes IPC  ?

• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G10L 11/00 - Détermination ou détection des caractéristiques de la parole ou des signaux audio qui ne se limitent pas à un seul des groupes ; G10L 15/00-G10L 21/00
• G10L 21/00 - Techniques de traitement du signal de parole ou de voix pour produire un autre signal audible ou non audible, p. ex. visuel ou tactile, afin de modifier sa qualité ou son intelligibilité

Abrégé

The system and method described herein may provide a natural language content dedication service in a voice services environment. In particular, providing the natural language content dedication service may generally include detecting multi-modal device interactions that include requests to dedicate content, identifying the content requested for dedication from natural language utterances included in the multi-modal device interactions, processing transactions for the content requested for dedication, processing natural language to customize the content for recipients of the dedications, and delivering the customized content to the recipients of the dedications.

Classes IPC  ?

• G10L 15/00 - Reconnaissance de la parole
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
• G06F 17/28 - Traitement ou traduction du langage naturel

Abrégé

A system and method for selecting and presenting advertisements based on natural language processing of voice-based inputs is provided. A user utterance may be received at an input device, and a conversational, natural language processor may identify a request from the utterance. At least one advertisement may be selected and presented to the user based on the identified request. The advertisement may be presented as a natural language response, thereby creating a conversational feel to the presentation of advertisements. The request and the user's subsequent interaction with the advertisement may be tracked to build user statistical profiles, thus enhancing subsequent selection and presentation of advertisements.

Classes IPC  ?

• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 11/00 - Détermination ou détection des caractéristiques de la parole ou des signaux audio qui ne se limitent pas à un seul des groupes ; G10L 15/00-G10L 21/00
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G06Q 30/00 - Commerce

Abrégé

A system and method for selecting and presenting advertisements based on natural language processing of voice-based inputs is provided. A user utterance may be received at an input device, and a conversational, natural language processor may identify a request from the utterance. At least one advertisement may be selected and presented to the user based on the identified request. The advertisement may be presented as a natural language response, thereby creating a conversational feel to the presentation of advertisements. The request and the user's subsequent interaction with the advertisement may be tracked to build user statistical profiles, thus enhancing subsequent selection and presentation of advertisements.

Classes IPC  ?

• G10L 11/00 - Détermination ou détection des caractéristiques de la parole ou des signaux audio qui ne se limitent pas à un seul des groupes ; G10L 15/00-G10L 21/00
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G06Q 30/00 - Commerce

Abrégé

A cooperative conversational voice user interface is provided. The cooperative conversational voice user interface may build upon short-term and long-term shared knowledge to generate one or more explicit and/or implicit hypotheses about an intent of a user utterance. The hypotheses may be ranked based on varying degrees of certainty, and an adaptive response may be generated for the user. Responses may be worded based on the degrees of certainty and to frame an appropriate domain for a subsequent utterance. In one implementation, misrecognitions may be tolerated, and conversational course may be corrected based on subsequent utterances and/or responses.

Classes IPC  ?

• G06F 17/27 - Analyse automatique, p.ex. analyse grammaticale, correction orthographique
• G10L 21/00 - Techniques de traitement du signal de parole ou de voix pour produire un autre signal audible ou non audible, p. ex. visuel ou tactile, afin de modifier sa qualité ou son intelligibilité
• G10L 11/00 - Détermination ou détection des caractéristiques de la parole ou des signaux audio qui ne se limitent pas à un seul des groupes ; G10L 15/00-G10L 21/00