Fast, language-independent method for user authentication by voice

A method of authenticating a speech signal comprising:

• at a device comprising one or more processors and memory:
• receiving a spoken utterance of an unauthenticated speaker;
• generating a phoneme-independent matrix based on the spoken utterance, wherein the phoneme-independent matrix comprises a first plurality of phoneme-independent spectral feature vectors each having been extracted from a respective frame sampled from the spoken utterance at a sampling frequency;
• decomposing the phoneme-independent matrix into a speaker-specific characteristic unit;
• comparing the at least one speaker-specific characteristic unit to at least one speaker-specific distribution value, the at least one speaker-specific distribution value previously trained by a registered speaker and generated by decomposing a second plurality of phoneme-independent feature vectors into sets of vectors including at least a first set of vectors defining at least one speaker-specific recognition unit and a second set of vectors defining at least one content reference sequence;
• and
• authenticating the spoken utterance if the at least one speaker-specific characteristic unit is within a threshold limit of the at least one speaker-specific distribution value.

A system for speech-based user authentication, comprising:

• means for receiving a spoken utterance of a speaker;
• means for generating a phoneme-independent matrix based on the spoken utterance, wherein the phoneme-independent matrix comprises a plurality of phoneme-independent feature vectors each having been extracted from a respective frame sampled from the spoken utterance at a sample frequency;
• means for decomposing the phoneme-independent matrix into multiple sets of vectors including at least a first set of vectors defining at least one speaker-specific recognition unit and a second set of vectors defining at least one content reference sequence;
• means for computing at least one speaker-specific distribution value based on at least the speaker-specific recognition unit;
• and
• means for authenticating an input speech signal based on the at least one speaker-specific distribution value.

A system for authenticating a speech signal comprising:

• means for receiving a spoken utterance of a speaker;
• means for generating a phoneme-independent matrix based on the spoken utterance, wherein the phoneme-independent matrix comprises a first plurality of phoneme-independent spectral feature vectors each having been extracted from a respective frame sampled from the spoken utterance at a sampling frequency;
• means for decomposing the phoneme-independent matrix into a speaker-specific characteristic unit;
• means for comparing the at least one speaker-specific characteristic unit to at least one speaker-specific distribution value, the at least one speaker-specific distribution value previously trained by a registered speaker and generated by decomposing a second plurality of phoneme-independent feature vectors into sets of vectors including at least a first set of vectors defining at least one speaker-specific recognition unit and a second set of vectors defining at least one content reference sequence;
• and
• means for authenticating the spoken utterance if the at least one speaker-specific characteristic unit is within a threshold limit of the at least one speaker-specific distribution value.

A non-transitory computer readable medium comprising instructions, which when executed on a processor, perform a method of speech-based user authentication, comprising:

• receiving a spoken utterance of a speaker;
• generating a phoneme-independent matrix based on the spoken utterance, wherein the phoneme-independent matrix comprises a plurality of phoneme-independent feature vectors each having been extracted from a respective frame sampled from the spoken utterance at a sampling frequency;
• decomposing the phoneme-independent matrix into multiple sets of vectors including at least a first set of vectors defining at least one speaker-specific recognition unit and a second set of vectors defining at least one content reference sequence
• computing at least one speaker-specific distribution value based on at least the speaker-specific recognition unit;
• and
• authenticating an input speech signal based on the at least one speaker-specific distribution value.

A non-transitory computer readable medium comprising instructions, which when executed on a processor, perform a method for authenticating a speech signal, comprising:

• receiving a spoken utterance of a speaker;
• generating a phoneme-independent matrix based on the spoken utterance, wherein the phoneme-independent matrix comprises a first plurality of phoneme-independent spectral feature vectors each having been extracted from a respective frame sampled from the spoken utterance at a sampling frequency;
• decomposing the phoneme-independent matrix into a speaker-specific characteristic unit;
• comparing the at least one speaker-specific characteristic unit to at least one speaker-specific distribution value, the at least one speaker-specific distribution value previously trained by a registered speaker and generated by decomposing a second plurality of phoneme-independent feature vectors into sets of vectors, including at least a first set of vectors defining at least one speaker-specific recognition unit and a second set of vectors defining at least one content reference sequence;
• and
• authenticating the spoken utterance if the at least one speaker-specific characteristic unit is within a threshold limit of the at least one speaker-specific distribution value.

A system for speech-based user authentication, comprising:

• a processor configured to
• receive a spoken utterance of a speaker,
• generate a phoneme-independent matrix based on the spoken utterance, wherein the phoneme-independent matrix comprises a plurality of phoneme-independent feature vectors each having been extracted from a respective frame sampled from the spoken utterance at a sampling frequency,
• decompose the phoneme-independent matrix into multiple sets of vectors at least a first set of vectors defining at least one speaker-specific recognition unit and a second set of vectors defining at least one content reference sequence,
• compute at least one speaker-specific distribution value based on at least the speaker-specific recognition unit;
• and
• authenticate an input speech signal based on the at least one speaker-specific distribution value.

A system for authenticating a speech signal comprising:

• a processor to
• receive a spoken utterance of an unauthenticated speaker,
• generate a phoneme-independent matrix based on the spoken utterance, wherein the phoneme-independent matrix comprises a first plurality of phoneme-independent spectral feature vectors each having been extracted from a respective frame sampled from the spoken utterance at a sampling frequency,
• decompose the phoneme-independent matrix into a speaker-specific characteristic unit,
• compare the at least one speaker-specific characteristic unit to at least one speaker-specific distribution value, the at least one speaker-specific distribution value previously trained by a registered speaker, and
• authenticate the spoken utterance if the at least one speaker-specific characteristic unit is within a threshold limit of the at least one speaker-specific distribution value, wherein the at least one speaker-specific distribution value is generated by decomposing a second plurality of phoneme-independent feature vectors into sets of vectors including a first set of vectors defining at least one speaker-specific recognition unit and a second set of vectors defining at least one content reference sequence.