Abstract: Audio information defining audio content may be accessed. The audio content may have a duration. The audio content may be segmented into audio segments. Individual audio segments may correspond to a portion of the duration. Feature vectors of the audio segments may be determined. The feature vectors may be processed through a classifier. The classifier may output scores on whether the audio segments contain voice. One or more of the audio segments may be identified as containing voice based on the scores and a two-step hysteresis thresholding. Storage of the identification of the one or more of the audio segments as containing voice in one or more storage media may be effectuated.

Abstract: Audio information defining audio content may be accessed. The audio content may have a duration. The audio content may be segmented into audio segments. Individual audio segments may correspond to a portion of the duration. Feature vectors of the audio segments may be determined. The feature vectors may be processed through a classifier. The classifier may output scores on whether the audio segments contain voice. One or more of the audio segments may be identified as containing voice based on the scores and a two-step hysteresis thresholding. Storage of the identification of the one or more of the audio segments as containing voice in one or more storage media may be effectuated.

Abstract: Audio information defining audio content may be accessed. The audio content may have a duration. The audio content may be segmented into audio segments. Individual audio segments may correspond to a portion of the duration. Feature vectors of the audio segments may be determined. The feature vectors may be processed through a classifier. The classifier may output scores on whether the audio segments contain voice. One or more of the audio segments may be identified as containing voice based on the scores and a two-step hysteresis thresholding. Storage of the identification of the one or more of the audio segments as containing voice in one or more storage media may be effectuated.

Abstract: Audio information defining audio content may be accessed. The audio content may have a duration. The audio content may be segmented into audio segments. Individual audio segments may correspond to a portion of the duration. Feature vectors of the audio segments may be determined. The feature vectors may be processed through a classifier. The classifier may output scores on whether the audio segments contain voice. One or more of the audio segments may be identified as containing voice based on the scores and a two-step hysteresis thresholding. Storage of the identification of the one or more of the audio segments as containing voice in one or more storage media may be effectuated.

Abstract: Audio information defining audio content may be accessed. The audio content may have a duration. The audio content may be segmented into audio segments. Individual audio segments may correspond to a portion of the duration. Feature vectors of the audio segments may be determined. The feature vectors may be processed through a classifier. The classifier may output scores on whether the audio segments contain voice. One or more of the audio segments may be identified as containing voice based on the scores and a two-step hysteresis thresholding. Storage of the identification of the one or more of the audio segments as containing voice in one or more storage media may be effectuated.

Abstract: Systems and method of automatically detecting user responses from users to media content and correlating the user responses to the media content include a determination of an emotional response by a user—for example a smile—to a presentation of media content. The determined emotional response is correlated to the media content. Subsequent presentation of the same media content includes presentation of an indicator—for example a smiley —that indicates the determined emotional response.