A method for processing audio data, the method comprising: receiving, by a conversational dynamics analysis module, audio data (7, 201A-205A) corresponding to a conference recording of a conference involving a plurality of conference participants, the audio data including at least one of: (a) conference participant speech data from multiple endpoints (1, 715a-715d), recorded separately or (b) conference participant speech data from a single endpoint corresponding to multiple conference participants and including information for identifying conference participant speech for each conference participant of the multiple conference participants; analyzing conversational dynamics of the conference recording to determine conversational dynamics data (515a-515c); searching the conference recording to determine instances of each of a plurality of segment classifications, each of the segment classifications based, at least in part, on the conversational dynamics data; and segmenting the conference recording into a plurality of segments, each of the segments corresponding with a time interval and at least one of the segment classifications, wherein the analyzing, searching and segmenting processes are performed by the conversational dynamics analysis module; CHARACTERIZED IN THAT: the searching and segmenting processes are based, at least in part, on a hierarchy of segment classifications, the hierarchy of segment classifications being based upon one or more criteria from a list of criteria consisting of: a level of confidence with which segments of a particular segment classification may be identified; a level of confidence with which a start time of a segment may be determined; a level of confidence with which an end time of a segment may be determined; and a likelihood that a particular segment classification includes conference participant speech corresponding to a conference topic. receiving, by a conversational dynamics analysis module, audio data (7, 201A-205A) corresponding to a conference recording of a conference involving a plurality of conference participants, the audio data including at least one of: (a) conference participant speech data from multiple endpoints (1, 715a-715d), recorded separately or (b) conference participant speech data from a single endpoint corresponding to multiple conference participants and including information for identifying conference participant speech for each conference participant of the multiple conference participants; analyzing conversational dynamics of the conference recording to determine conversational dynamics data (515a-515c); searching the conference recording to determine instances of each of a plurality of segment classifications, each of the segment classifications based, at least in part, on the conversational dynamics data; and segmenting the conference recording into a plurality of segments, each of the segments corresponding with a time interval and at least one of the segment classifications, wherein the analyzing, searching and segmenting processes are performed by the conversational dynamics analysis module; CHARACTERIZED IN THAT: the searching and segmenting processes are based, at least in part, on a hierarchy of segment classifications, the hierarchy of segment classifications being based upon one or more criteria from a list of criteria consisting of: a level of confidence with which segments of a particular segment classification may be identified; a level of confidence with which a start time of a segment may be determined; a level of confidence with which an end time of a segment may be determined; and a likelihood that a particular segment classification includes conference participant speech corresponding to a conference topic.