Abstract: The present disclosure generally relates to context-based endpoint detection in user speech input. A method for identifying an endpoint of a spoken request by a user may include receiving user input of natural language speech including one or more words; identifying at least one context associated with the user input; generating a probability, based on the at least one context associated with the user input, that a location in the user input is an endpoint; determining whether the probability is greater than a threshold; and in accordance with a determination that the probability is greater than the threshold, identifying the location in the user input as the endpoint.

Abstract: A delivery system for delivering an implant to a first space within a body of a patient including an elongate delivery member having a proximal portion, a distal portion, a lumen and a receiving area, the receiving area dimensioned for receipt of the implant. A deforming member is movable with respect to the delivery member from a first position to a second position to apply a force to the implant to deform the implant positioned in the receiving area of the delivery member.

Abstract: A method of implanting and securing an implantable flow connector in a body of a patient for providing communication of a first space within the body of the patient with a second space within the body of the patient. The method includes providing a flow connector having a lumen having a first orifice and a second orifice, inserting a retention device into the first space within the body, subsequently inserting the flow connector through an opening in the retention device so the second portion of the flow connector extends into the first space within the body and placing the second space within the body over the retention device.

Abstract: A delivery system for delivering an implant to a first space within a body of a patient including an elongate delivery member having a proximal portion, a distal portion, a lumen and a receiving area, the receiving area dimensioned for receipt of the implant. A deforming member is movable with respect to the delivery member from a first position to a second position to apply a force to the implant to deform the implant positioned in the receiving area of the delivery member.

Abstract: A method of implanting and securing an implantable flow connector in a body of a patient for providing communication of a first space within the body of the patient with a second space within the body of the patient. The method includes providing a flow connector having a lumen having a first orifice and a second orifice, inserting a retention device into the first space within the body, subsequently inserting the flow connector through an opening in the retention device so the second portion of the flow connector extends into the first space within the body and placing the second space within the body over the retention device.

Abstract: Systems and processes for processing speech in a digital assistant are provided. In one example process, a first speech input can be received from a user. The first speech input can be processed using a first automatic speech recognition system to produce a first recognition result. An input indicative of a potential error in the first recognition result can be received. The input can be used to improve the first recognition result. For example, the input can include a second speech input that is a repetition of the first speech input. The second speech input can be processed using a second automatic speech recognition system to produce a second recognition result.

Abstract: Systems and processes for generating complementary acoustic models for performing automatic speech recognition system combination are provided. In one example process, a deep neural network can be trained using a set of training data. The trained deep neural network can be a deep neural network acoustic model. A Gaussian-mixture model can be linked to a hidden layer of the trained deep neural network such that any feature vector outputted from the hidden layer is received by the Gaussian-mixture model. The Gaussian-mixture model can be trained via a first portion of the trained deep neural network and using the set of training data. The first portion of the trained deep neural network can include an input layer of the deep neural network and the hidden layer. The first portion of the trained deep neural network and the trained Gaussian-mixture model can be a Deep Neural Network-Gaussian-Mixture Model (DNN-GMM) acoustic model.

Abstract: A system for coupling a first space within the body of a patient with a second space within the body of the patient including a flow connector insertable into the first and second spaces within the body, the flow connector having a conduit having a lumen having a first orifice at a first portion of the conduit and a second orifice at a second portion of the conduit, the conduit providing communication between the first and second spaces within the body. A retention device retains the conduit with respect to the first space within the body and is engageable with the first space within the body.

Abstract: Provided are systems and methods for using hierarchical networks for recognition, such as speech recognition. Conventional automatic recognition systems may not be both efficient and flexible. Recognition systems are disclosed that may achieve efficiency and flexibility by employing hierarchical networks, prefix consolidation of networks, and future consolidation of networks. The disclosed networks may be associated with a network model and the associated network model may be modified during recognition to achieve greater flexibility.

Abstract: Provided are systems and methods for using hierarchical networks for recognition, such as speech recognition. Conventional automatic recognition systems may not be both efficient and flexible. Recognition systems are disclosed that may achieve efficiency and flexibility by employing hierarchical networks, prefix consolidation of networks, and future consolidation of networks. The disclosed networks may be associated with a network model and the associated network model may be modified during recognition to achieve greater flexibility.

Abstract: A delivery system for delivering an implant to a first space within a body of a patient including an elongate delivery member having a proximal portion, a distal portion, a lumen and a receiving area, the receiving area dimensioned for receipt of the implant. A deforming member is movable with respect to the delivery member from a first position to a second position to apply a force to the implant to deform the implant positioned in the receiving area of the delivery member.

Abstract: A system for coupling a first space within the body of a patient with a second space within the body of the patient including a flow connector insertable into the first and second spaces within the body, the flow connector having a conduit having a lumen having a first orifice at a first portion of the conduit and a second orifice at a second portion of the conduit, the conduit providing communication between the first and second spaces within the body. A retention device retains the conduit with respect to the first space within the body and is engageable with the first space within the body.

Abstract: A method of implanting and securing an implantable flow connector in a body of a patient for providing communication of a first space within the body of the patient with a second space within the body of the patient. The method includes providing a flow connector having a lumen having a first orifice and a second orifice, inserting a retention device into the first space within the body, subsequently inserting the flow connector through an opening in the retention device so the second portion of the flow connector extends into the first space within the body and placing the second space within the body over the retention device.