Настройки

Укажите год
-

Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

Подробнее
-

Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

Подробнее

Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Укажите год
Укажите год

Применить Всего найдено 4. Отображено 4.
06-01-2022 дата публикации

AUTOMATED TRANSCRIPT GENERATION FROM MULTI-CHANNEL AUDIO

Номер: US20220005492A1
Принадлежит:

Systems and methods are described for generating a transcript of a legal proceeding or other multi-speaker conversation or performance in real time or near-real time using multi-channel audio capture. Different speakers or participants in a conversation may each be assigned a separate microphone that is placed in proximity to the given speaker, where each audio channel includes audio captured by a different microphone. Filters may be applied to isolate each channel to include speech utterances of a different speaker, and these filtered channels of audio data may then be processed in parallel to generate speech-to-text results that are interleaved to form a generated transcript. 1a plurality of microphones;audio mixer hardware configured to process a plurality of audio channels, wherein each of the plurality of microphones corresponds to a different channel of the plurality of audio channels; and receiving speaker identification information for each of the plurality of audio channels, wherein the speaker identification information for each individual audio channel identifies a person assigned to the individual audio channel and vocal characteristic information of the person, wherein the person assigned to the individual audio channel is physically located closer to a microphone assigned to the individual audio channel than to any other microphone of the plurality of microphones;', 'selecting a speech model to be used with respect to audio data for each of two or more of the plurality of audio channels, wherein a first speech model selected for a first audio channel is based at least in part on vocal characteristic information of a first person assigned to the first audio channel;', 'receiving at least a portion of multi-channel streaming audio from the audio mixer hardware, wherein the multi-channel streaming audio comprises audio signals captured from each of the plurality of microphones on a different channel of the plurality of audio channels;', 'applying one or ...

Подробнее
07-05-2020 дата публикации

AUTOMATED TRANSCRIPT GENERATION FROM MULTI-CHANNEL AUDIO

Номер: US20200143820A1
Принадлежит:

Systems and methods are described for generating a transcript of a legal proceeding or other multi-speaker conversation or performance in real time or near-real time using multi-channel audio capture. Different speakers or participants in a conversation may each be assigned a separate microphone that is placed in proximity to the given speaker, where each audio channel includes audio captured by a different microphone. Filters may be applied to isolate each channel to include speech utterances of a different speaker, and these filtered channels of audio data may then be processed in parallel to generate speech-to-text results that are interleaved to form a generated transcript. 1. A system comprising:a plurality of microphones;audio mixer hardware configured to process a plurality of audio channels, wherein each of the plurality of microphones corresponds to a different channel of the plurality of audio channels; and receiving speaker identification information for each of the plurality of audio channels, wherein the speaker identification information for each individual audio channel identifies a person assigned to the individual audio channel and vocal characteristic information of the person, wherein the person assigned to the individual audio channel is physically located closer to a microphone assigned to the individual audio channel than to any other microphone of the plurality of microphones;', 'selecting a speech model to be used with respect to audio data for each of two or more of the plurality of audio channels, wherein a first speech model selected for a first audio channel is based at least in part on vocal characteristic information of a first person assigned to the first audio channel;', 'receiving at least a portion of multi-channel streaming audio from the audio mixer hardware, wherein the multi-channel streaming audio comprises audio signals captured from each of the plurality of microphones on a different channel of the plurality of audio channels ...

Подробнее
02-05-2020 дата публикации

Automated transcript generation from multi-channel audio

Номер: CA3060748A1
Принадлежит: Veritext LLC

Systems and methods are described for generating a transcript of a legal proceeding or other multi-speaker conversation or performance in real time or near-real time using multi-channel audio capture. Different speakers or participants in a conversation may each be assigned a separate microphone that is placed in proximity to the given speaker, where each audio channel includes audio captured by a different microphone. Filters may be applied to isolate each channel to include speech utterances of a different speaker, and these filtered channels of audio data may then be processed in parallel to generate speech-to-text results that are interleaved to form a generated transcript.

Подробнее
09-05-2024 дата публикации

Automated transcript generation from multi-channel audio

Номер: US20240153523A1
Принадлежит: Veritext LLC

Systems and methods are described for generating a transcript of a legal proceeding or other multi-speaker conversation or performance in real time or near-real time using multi-channel audio capture. Different speakers or participants in a conversation may each be assigned a separate microphone that is placed in proximity to the given speaker, where each audio channel includes audio captured by a different microphone. Filters may be applied to isolate each channel to include speech utterances of a different speaker, and these filtered channels of audio data may then be processed in parallel to generate speech-to-text results that are interleaved to form a generated transcript.

Подробнее