Abstract: A method for providing automatic interpretation may include receiving, by a processor, audible speech from a speech source, generating, by the processor, in real-time, a speech transcript by applying an automatic speech recognition model on the speech, segmenting, by the processor, the speech transcript into speech segments based on a content of the speech by applying a segmenter model on the speech transcript, compressing, by the processor, the speech segments based on the content of the speech by applying a compressor model on the speech segments, generating, by the processor, a translation of the speech by applying a machine translation model on the compressed speech segments, and generating, by the processor, audible translated speech based on the translation of the speech by applying a text to speech model on the translation of the speech.

Abstract: A method for providing automatic interpretation may include receiving, by a processor, audible speech from a speech source, generating, by the processor, in real-time, a speech transcript by applying an automatic speech recognition model on the speech, segmenting, by the processor, the speech transcript into speech segments based on a content of the speech by applying a segmenter model on the speech transcript, compressing, by the processor, the speech segments based on the content of the speech by applying a compressor model on the speech segments, generating, by the processor, a translation of the speech by applying a machine translation model on the compressed speech segments, and generating, by the processor, audible translated speech based on the translation of the speech by applying a text to speech model on the translation of the speech.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprising an analytic server, which receives a request from a user to participate in a panel or an event in a selected language. The analytic server may determine and select the interpreter for the user to provide real time interpretation services. The analytic server transmits the audio signals in the source language interpreter electronic device. After the interpreter translates the audio signals in source language to the selected target language, the analytic server receives the translated audio signals from the interpreter electronic device. The analytic server then transmits the translated audio signals in the user requested language to the user electronic device. When the user changes to a different target language, the analytic server selects a different interpreter to provide real time translation, and transmits the translated audio signals in a new target language to the user.

Abstract: Disclosed herein are embodiments of systems and methods for facilitating interpretation services by continuously generating a real time speed of speech for a set of spoken words within an electronic communication session. A processor continuously generates the real time speed of speech by iteratively generating the real time speed of speech upon parsing each spoken word from audio input signals of the electronic communication session. Iteratively generating the real time speed of speech may be based on a frequency of a subset of the set of spoken words within a preceding time interval of each spoken word. The systems and method may further determine a threshold based on an attribute of the set of spoken words. The method may display on a graphical user interface a graphical indicator having a visual feature that changes when the continuously generated real time speed of speech achieves the threshold.

Abstract: Disclosed herein are embodiments of systems and methods for automated real time exploration of topics of interest during an electronic communication session. One or more meeting participants identify a category of interest, and operate an electronic device in the electronic communication session. A processor executes a machine learning model to identify one or more spoken words within a set of spoken words during the electronic communication session as one or more units of interest corresponding to the category of interest. The machine learning model may be trained to determine a context of the set of spoken works and to identify the one or more units of interest based on the context. The processor retrieves content associated with the units of interest from one or more data collections associated with the category of interest. The processor presents the content for display in real time in a graphical user interface.

Abstract: A method for providing automatic interpretation may include receiving, by a processor, audible speech from a speech source, generating, by the processor, in real-time, a speech transcript by applying an automatic speech recognition model on the speech, segmenting, by the processor, the speech transcript into speech segments based on a content of the speech by applying a segmenter model on the speech transcript, compressing, by the processor, the speech segments based on the content of the speech by applying a compressor model on the speech segments, generating, by the processor, a translation of the speech by applying a machine translation model on the compressed speech segments, and generating, by the processor, audible translated speech based on the translation of the speech by applying a text to speech model on the translation of the speech.