Abstract: A method, executed by a computer, includes receiving a channel recording corresponding to a conversation, receiving a transcription for the conversation, generating a conversation-specific language model for the conversation using the transcription, and conducting speech recognition on the channel recording using the conversation-specific language model to provide time boundaries and written language corresponding to utterances within the channel recording. The method further includes determining sentence or phrase boundaries for the transcription, aligning written language within the one or more transcriptions with the written language corresponding to the utterances with the channel recording to provide sentence or phrase boundaries for the channel recording, and training a speech recognizer according to the sentence or phrase boundaries for the transcription and the sentence or phrase boundaries for the channel recording.

Abstract: An apparatus for encoding audio information is provided. The apparatus for encoding audio information includes a selector for selecting a comfort noise generation mode from two or more comfort noise generation modes depending on a background noise characteristic of an audio input signal, and an encoding unit for encoding the audio information, wherein the audio information includes mode information indicating the selected comfort noise generation mode.

Abstract: A data encoding may be determined by examining the data itself. By examining the data, such as by identifying characteristics of the data, the data encoding may be identified and the substantive information extracted from the data by decoding the data according to the identified data encoding. The data encoding may be identified without extra control or header information separate from the encoded data itself. The identification of data encoding may be determined by a plurality of detectors examining different characteristics of the data and determining an encoding of the data based on each of those individual characteristics. The output of the detectors may be collected and used to decide the encoding of the data. One example application involves determining if audio data is DSD- or PCM-encoded audio data by examining only the data itself.