Abstract

A method for estimating the reliability of a result of a speaker recognition system concerning a testing audio and a speaker model, which is based on one, two, three or more model audios, the method using a Bayesian Network to estimate whether the result is reliable, wherein for estimating the reliability of the result of the speaker recognition system one, two, three, four or more than four quality measures of the testing audio and one, two, three, four or more than four quality measures of the model audio(s) are used.

IPC Classes  ?

• G10L 17/06 - Decision making techniquesPattern matching strategies
• G10L 17/20 - Pattern transformations or operations aimed at increasing system robustness, e.g. against channel noise or different working conditions
• G10L 17/04 - Training, enrolment or model building
• G10L 17/10 - Multimodal systems, i.e. based on the integration of multiple recognition engines or fusion of expert systems

Abstract

Method for text-dependent Speaker Recognition using a speaker adapted Universal Background Model; wherein the speaker adapted Universal Background Model is a speaker adapted Hidden Markov Model comprising channel correction.

IPC Classes  ?

• G10L 17/24 - the user being prompted to utter a password or a predefined phrase
• G10L 17/04 - Training, enrolment or model building
• G10L 17/16 - Hidden Markov models [HMM]
• G10L 17/10 - Multimodal systems, i.e. based on the integration of multiple recognition engines or fusion of expert systems

Abstract

A speaker recognition system for authenticating a mobile device user includes an enrollment and learning software module, a voice biometric authentication software module, and a secure software application. Upon request by a user of the mobile device, the enrollment and learning software module displays text prompts to the user, receives speech utterances from the user, and produces a voice biometric print. The enrollment and training software module determines when a voice biometric print has met at least a quality threshold before storing it on the mobile device. The secure software application prompts a user requiring authentication to repeat an utterance based at least on an attribute of a selected voice biometric print, receives a corresponding utterance, requests the voice biometric authentication software module to verify the identity of the second user using the utterance, and, if the user is authenticated, imports the voice biometric print.

IPC Classes  ?

• G01L 17/00 - Devices or apparatus for measuring tyre pressure or the pressure in other inflated bodies
• G10L 17/22 - Interactive proceduresMan-machine interfaces

Abstract

The present invention relates to a method for speaker identification, comprising the steps of detecting a (target) speaker's utterance locally; extracting features from the detected utterance locally; analyzing the extracted features in the local device to obtain information on the speaker identification and/or: encoding the extracted features locally; transmitting the encoded extracted features to a (remote) server; decoding and analyzing the received extracted features by the server to obtain information on the speaker identification; and transmitting the information on the speaker identification from the server to the location where the speaker's utterance was detected; and further comprising detecting locally speech activity and wherein the steps of extracting features and/or encoding the extracted features and/or transmitting the encoded extracted features to the server are only performed, if speech activity above some predetermined threshold is detected.

IPC Classes  ?

• G10L 11/02 - Detection of presence or absence of speech signals
• G10L 17/00 - Speaker identification or verification techniques
• G10L 15/28 - Constructional details of speech recognition systems

Abstract

The present invention relates to a method for synthesizing a speech signal; comprising obtaining a speech sequence input signal comprising semantic content corresponding to a speaker's utterance; analyzing the input speech sequence signal to obtain a first sequence of feature vectors for the input speech sequence signal; synthesizing a second sequence of feature vectors different from and based on the first sequence of feature vectors; generating an excitation signal and filtering the excitation signal based on the second sequence of feature vectors to obtain a synthesized speech signal wherein the semantic content is obfuscated.

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques
• G10L 21/00 - Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility

Abstract

The present invention relates to a method for speaker recognition, comprising the steps of obtaining and storing speaker information for at least one target speaker; obtaining a plurality of speech samples from a plurality of telephone calls from at least one unknown speaker; classifying the speech samples according to the at least one unknown speaker thereby providing speaker-dependent classes of speech samples; extracting speaker information for the speech samples of each of the speaker-dependent classes of speech samples; combining the extracted speaker information for each of the speaker-dependent classes of speech samples; comparing the combined extracted speaker information for each of the speaker-dependent classes of speech samples with the stored speaker information for the at least one target speaker to obtain at least one comparison result; and determining whether one of the at least one unknown speakers is identical with the at least one target speaker based on the at least one comparison result.

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques

Abstract

The invention refers to a method of verifying the identity of a speaker based on the speakers voice comprising the steps of: receiving (1, 5) a first and a second voice utterance; using biometric voice data to verify (2, 6) that the speakers voice corresponds to the speaker the identity of which is to be verified based on the received first and/or second voice utterance and determine (8) the similarity of the two received voice utterances characterized in that the similarity is determined using biometric voice characteristics of the two voice utterances or data derived from such biometric voice characteristics. The invention further refers to a System (80) for verifying the identity of a speaker based on the speakers voice comprising: a component (81) for receiving a first and a second voice utterance; a component (82) for using biometric voice data to verify that the speakers voice corresponds to the speaker the identity of which is to be verified based on the received first and/or second voice utterance and a component (83) for comparing the two received voice utterances in order to determine the similarity of the two voice utterances characterized in that the similarity is determined using biometric voice characteristics of the two voice utterances or data derived from such biometric voice characteristics.

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques

Abstract

The invention refers to a method for comparing voice utterances, the method comprising the steps: extracting a plurality of features (201) from a first voice utterance of a given text sample and extracting a plurality of features (201) from a second voice utterance of said given text sample, wherein each feature is extracted as a function of time, and wherein each feature of the second voice utterance corresponds to a feature of the first voice utterance; applying dynamic time warping (202) to one or more time dependent characteristics of the first and/or second voice utterance e.g. by minimizing one or more distance measures, wherein a distance measure is a measure for the difference of a time dependent characteristic of the first voice utterance and a corresponding time dependent characteristic of the second voice utterance, and wherein a time dependent characteristic of a voice utterance is a time dependent characteristic of either a single feature or a combination of two or more features; calculating a total distance measure (203), wherein the total distance measure is a measure for the difference between the first voice utterance of the given text sample and the second voice utterance of said given text sample, wherein the total distance measure is calculated based on one or more pairs of said time dependent characteristic, and wherein a pair of time dependent characteristic is composed of a time dependent characteristic of the first or second voice utterance and of a dynamically time warped (202) time dependent characteristic of the respectively second or first voice utterance, or wherein a pair of time dependent characteristic is composed of a dynamically time warped (202) time dependent characteristic of the first voice utterance and of a dynamically time warped (202) time dependent characteristic of the second voice utterance.

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques

Abstract

The present invention refers to a method for verifying the identity of a speaker based on the speakers voice comprising the steps of: a) receiving a voice utterance; b) using biometric voice data to verify (10) that the speakers voice corresponds to the speaker the identity of which is to be verified based on the received voice utterance; and c) verifying (12, 13) that the received voice utterance is not falsified, preferably after having verified the speakers voice; d)accepting (16) the speakers identity to be verified in case that both verification steps give a positive result and not accepting (15) the speakers identity to be verified if any of the verification steps give a negative result. The invention further refers to a corresponding computer readable medium and a computer.

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques

Abstract

The present invention refers to a method for localizing a person comprising the steps carried out in a computing system (1) : determining (20) the localization of a telecommunication means (3, 6, 8) or determining a telecommunication means (3, 6, 8) at a specific location; this can be implemented using ANI or calling number received and a database to look up address of a fixed telephone, for a cellular device, cell-ID or triangulation can be used; receiving (21) a voice utterance of a person by the telecommunications means; and verifying (22) the identity of that person based on the received voice utterance using biometric voice data (speech, speaker recognition). Further the invention relates to a corresponding system and computer readable medium.

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques
• H04M 3/42 - Systems providing special services or facilities to subscribers

Abstract

The invention refers to a method of generating a means and/or status which is temporarily limited and/or usage limited and allows access to a service which has access restrictions, the method being carried out in a computing system and comprising the steps of establishing a telecommunications connection such that an audio call as for example a telephone call, within the telecommunications connection is preferably initiated by a person; determining biometric data of a specific person such as for example voice information; receiving data such as a voice utterance from the person which is connected by the telecommunications connection; verifying that the received data and the determined biometric data fit; and generating the means and/or status which is temporarily limited and/or usage limited after the verifying step.

IPC Classes  ?

• G07C 9/00 - Individual registration on entry or exit
• G10L 17/00 - Speaker identification or verification techniques

Abstract

The invention refers to a Method of informing a person of an event comprising carrying out in a computing system the steps of: receiving (10) information of an event (1); determining (11 ) a specific person which is to be notified of the event (1); performing (12) an information action with the aim of informing the specific person of the event (1 ) via a telecommunications system; receiving (15) a voice utterance of a person; verifying (16) that the identity of the person coincides with that of the specific person based on the received voice utterance using biometric voice data.

IPC Classes  ?

• G06Q 10/00 - AdministrationManagement

Abstract

The speaker recognition device comprises, connected in cascade, a coefficient extraction module (11) that receives a mono audio signal (14), a fractioning module (22), a classification module (23) and a verisimilitude computation module (24) that generates, at the output thereof (16), an average of the verisimilitude signals relating to the groups of fractions generated at the classifier (23) output.

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques

Abstract

The invention relates to an automatic voice recognition device including at least one training phase, in which a first MFCC coefficient characteristics extraction module (12) is connected to an MAP adaptation module (13) connected to a normalisation module (14) which is, in turn, connected to a supervector calculation module (15).

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques

Abstract

Voice-identification method based on a set of models of various speakers with different characteristics grouped into categories of similar characteristics. Once the models have been grouped on the basis of the distances between all the possible pairs of models that exist in the initial situation of the set of models, the distance from a new model to a selected original class is evaluated.

IPC Classes  ?

• G10L 17/00 - Speaker identification or verification techniques

Abstract

The invention relates to a method for the automatic recognition of a speaker from a first speech signal that is known to be from the speaker, a second speech signal corresponding to forensic evidence or a test and a plurality of speech signals corresponding to a reference population or selected cohort, comprising the generation of a set of partial models having the same duration as that of the signals corresponding to the selected cohort, such that the above-mentioned signals are used systematically in order to determine if the speaker of the first known signal is the same as the speaker of the second test signal.

IPC Classes  ?

• G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog