An example operation may include one or more of generating a local audio file comprising audio captured of a user participating in a teleconference, receiving one or more other local audio files of the teleconference captured by one or more other audio devices that participated in the teleconference, determining a synchronized playback order for audio portions of the generated local audio file and audio portions of the one or more received local audio files based on timing information included in the generated local audio file and the received timing information, and outputting a playback of the audio portions of the generated local audio file and the detected audio portions of the one or more received local audio files synchronized together based on the determined synchronized playback order.

Volume leveler controller and controlling method are disclosed. In one embodiment, A volume leveler controller includes an audio content classifier for identifying the content type of an audio signal in real time; and an adjusting unit for adjusting a volume leveler in a continuous manner based on the content type as identified. The adjusting unit may configured to positively correlate the dynamic gain of the volume leveler with informative content types of the audio signal, and negatively correlate the dynamic gain of the volume leveler with interfering content types of the audio signal.

Techniques for processing content for communication sessions are described. Implementations, for example, enable various ways of detecting and storing events that occur during communication sessions.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.

Some aspects of the present disclosure involve the recording, processing and playback of audio data corresponding to conferences, such as teleconferences. In some teleconference implementations, the audio experience heard when a recording of the conference is played back may be substantially different from the audio experience of an individual conference participant during the original teleconference. In some implementations, the recorded audio data may include at least some audio data that was not available during the teleconference. In some examples, the spatial characteristics of the played-back audio data may be different from that of the audio heard by participants of the teleconference.

A system and method for automated call analysis using context specific lexicons. A system includes memory and a processor configured to executed instructions. The system includes a recording component, a lexicon component, an analysis component, and a display component. The lexicon component defines a plurality of context specific lexicons, with each context specific lexicon having elements associated with one of a plurality of unique conversation segments. The analysis component configured to identify elements of the context specific lexicons, and associate each identified element with a time location in a telephonic conversation. The display component configured to graphically present a multi-line graph such that the intersections of the lines indicate transitions between the unique conversation segments.

Some aspects of the present disclosure involve the recording, processing and playback of audio data corresponding to conferences, such as teleconferences. In some teleconference implementations, the audio experience heard when a recording of the conference is played back may be substantially different from the audio experience of an individual conference participant during the original teleconference. In some implementations, the recorded audio data may include at least some audio data that was not available during the teleconference. In some examples, the spatial characteristics of the played-back audio data may be different from that of the audio heard by participants of the teleconference.

Systems and methods are disclosed herein for improving audio conferencing services. One aspect relates to processing audio content of a conference. A first audio signal is received from a first conference participant, and a start and an end of a first utterance by the first conference participant are detected from the first audio signal. A second audio signal is received from a second conference participant, and a start and an end of a second utterance by the second conference participant is detected from the second audio signal. The second conference participant is provided with at least a portion of the first utterance, wherein at least one of start time, start point, and duration is determined based at least in part on the start, end, or both, of the second utterance.

A message processing method includes acquiring a voice message, selecting identification information corresponding to the voice message according to a marking policy corresponding to the voice message, and displaying the voice message carrying the identification information.

Volume leveler controller and controlling method are disclosed. In one embodiment, A volume leveler controller includes an audio content classifier for identifying the content type of an audio signal in real time; and an adjusting unit for adjusting a volume leveler in a continuous manner based on the content type as identified. The adjusting unit may configured to positively correlate the dynamic gain of the volume leveler with informative content types of the audio signal, and negatively correlate the dynamic gain of the volume leveler with interfering content types of the audio signal.