Google Inc.

Mikhal Shemer

David Francis Tapuska

Jay Pierre Civelli

Turaj Zakizadeh Shabestary

Alex Gontmakher

Gal Elidan

Alexander Goldshtein

Benjamin Dov Kessler

Roee Engelberg

Yonit Tova Halperin Worzel

Marco Paniconi

Patrik Göran Westin

A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

Network anomaly detection

Provided are methods, systems, and apparatuses for detecting, processing, and responding to audio signals, including speech signals, within a designated area or space. A platform for multiple media devices connected via a network is configured to process speech, such as voice commands, detected at the media devices, and respond to the detected speech by causing the media devices to simultaneously perform one or more requested actions. The platform is capable of scoring the quality of a speech request, handling speech requests from multiple end points of the platform using a centralized processing approach, a de-centralized processing approach, or a combination thereof, and also manipulating partial processing of speech requests from multiple end points into a coherent whole when necessary.

Methods and systems for detecting and processing speech signals

Provided is a platform for data devices in which the architecture and runtime parameters of the platform are adaptively updated based on real-time data collected about a network on which the platform operates, the source type (e.g., codec selection) for data being communicated between devices, the grouping/architecture of the devices, or any combination thereof. The platform is thus able to support multiple different types and configurations of data devices under varied, constantly-changing conditions. The platform offers a flexible architecture for a content management and rendering system in which multiple data devices connected via the network each play a unique role in the operation of the system. The data devices are capable of dynamically switching between different roles while the system is in active operation. The platform also includes adaptive delay capabilities as well as adaptive codec selection capabilities.

Platform for multiple device playout

A method for decoding a packetized video signal including at least one encoded frame. In one case, the method includes receiving at least one FEC packet at a receiving station. The receiving station uses embedded data associated with the FEC packet to obtain more accurate knowledge of the packet loss state of the media packets. This improved knowledge can allow the receiver to make better use of packet retransmission requests. The embedded data associated with the FEC packet can include in some cases a base sequence number and a packet mask.

Method and apparatus for decoding packetized data

A data processing apparatus for detecting a probability of speech based on video data is disclosed. The data processing apparatus may include at least one processor, and a non-transitory computer-readable storage medium including instructions executable by the at least one processor, where execution of the instructions by the at least one processor causes the data processing apparatus to execute a visual speech detector. The visual speech detector may be configured to receive a coordinate-based signal. The coordinate-based signal may represent movement or lack of movement of at least one facial landmark of a person in a video signal. The visual speech detector may be configured to compute a probability of speech of the person based on the coordinate-based signal.

Growing community of inventors

Tel Aviv, Israel

Mikhal Shemer