Methods and apparatus for unknown speaker labeling using concurrent speech recognition, segmentation, classification and clustering

A method for identifying a speaker in an audio source, said method comprising the steps of:

• computing feature vectors from said audio source;
• and
• applying said feature vectors to parallel processing branches to:
• transcribe said audio source to create a textual version of said audio information;
• identify potential segment boundaries in said audio source;
• and
• assign a speaker label to each identified segment, said speaker label being selected from a speaker database that includes at least one model for an unenrolled speaker.

A system for identifying a speaker in an audio source, comprising:

• a memory that stores computer-readable code;
• and
• a processor operatively coupled to said memory, said processor configured to implement said computer-readable code, said computer-readable code configured to:
• transcribe said audio source to create a textual version of said audio information;
• identify potential segment boundaries in said audio source substantially concurrently with said transcribing step;
• and
• assign a speaker label to each identified segment, said speaker label being selected from a speaker database that includes at least one model for an unenrolled speaker.

An article of manufacture, comprising:

• a computer readable medium having computer readable code means embodied thereon, said computer readable program code means comprising:
• a step to transcribe said audio source to create a textual version of said audio information;
• a step to identify potential segment boundaries in said audio source substantially concurrently with said transcribing step;
• and
• a step to assign a speaker label to each identified segment, said speaker label being selected from a speaker database that includes at least one model for an unenrolled speaker.

A method for identifying a speaker in an audio source, said method comprising the steps of:

• transcribing said audio source to create a textual version of said audio information;
• identifying potential segment boundaries in said audio source;
• assigning a speaker label to each identified segment, said speaker label being selected from a speaker database that includes at least one model for an unenrolled speaker;
• and
• presenting said textual version together with said assigned speaker labels.

A method for identifying a speaker in an audio source, said method comprising the steps of:

• assigning a speaker label to each segment in said audio source, said speaker label being selected from a speaker database that includes at least one model for an unenrolled speaker;
• presenting said user with said assigned speaker labels;
• and
• prompting a user for an identity of an unenrolled speaker.

A system for identifying a speaker in an audio source, comprising:

• a memory that stores computer-readable code;
• and
• a processor operatively coupled to said memory, said processor configured to implement said computer-readable code, said computer-readable code configured to:
• assigning a speaker label to each segment in said audio source, said speaker label being selected from a speaker database that includes at least one model for an unenrolled speaker;
• presenting said user with said assigned speaker labels;
• and
• prompting a user for the identity of an unenrolled speaker.

A method for identifying a speaker in an audio source, said method comprising the steps of:

• transcribing said audio source to create a textual version of said audio information;
• identifying potential segment boundaries in said audio source;
• clustering homogeneous segments into a cluster;
• and
• assigning a speaker label to each identified segment, said speaker label being selected from a speaker database that includes at least one model for an unenrolled speaker.