Cisco Technology, Inc.

Todd C Tatum

Shantanu Sarkar

Michael Anthony Ramalho

Alan Darryl Gatzke

Tyrone Terry Thorsen

Paul M Dunn

Laura L Smith

According to certain embodiments, training a transcription system includes accessing recorded voice data of a user from one or more sources. The recorded voice data comprises voice samples. A transcript of the recorded voice data is accessed. The transcript comprises text representing one or more words of each voice sample. The transcript and the recorded voice data are provided to a transcription system to generate a voice profile for the user. The voice profile comprises information used to convert a voice sample to corresponding text.

Training a transcription system

An example method is provided and includes establishing a communication pathway to a building element configured to control at least one environmental setting within a room. The method also includes communicating an ability to control the environmental setting within the room to an endpoint configured to participate in a meeting session. The method further includes receiving a command from the endpoint to adjust the environmental setting during the meeting session. The command can be communicated to the building element. In more specific examples, the method can include registering with one or more application program interfaces (APIs) associated with the building element, and communicating a credential to the building element in order to provide an authentication for controlling the environmental setting. In yet other embodiments, the command to adjust the environmental setting is received via a menu of a user interface provided by a video conferencing platform.

System and method for providing environmental controls for a meeting session in a network environment

In an example embodiment, there is disclosed herein an automatic speech recognition (ASR) system that employs speaker clustering (or speaker type) for transcribing audio. A large corpus of audio with corresponding transcripts is analyzed to determine a plurality of speaker types (e.g., dialects). The ASR system is trained for each speaker type. Upon encountering a new user, the ASR system attempts to map the user to a speaker type. After the new user is mapped to a speaker type, the ASR employs the speaker type for transcribing audio from the new user.

Growing community of inventors

San Jose, CA, United States of America

Todd C Tatum