User-specific acoustic models

Abstract

Systems and processes for providing user-specific acoustic models are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the electronic device; providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; initiating a user-specific acoustic model on the electronic device; and adjusting the user-specific acoustic model based on the plurality of speech inputs and the plurality of speech results.

What is claimed is: 
     
         1 . A computer-implemented method, comprising:
 at a first electronic device with one or more processors and memory:   receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the first electronic device;   providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs;   initiating a user-specific acoustic model on the first electronic device; and   adjusting the user-specific acoustic model by providing the plurality of speech inputs and the plurality of speech results to the user-specific acoustic model.   
     
     
         2 . The method of  claim 1 , further comprising:
 providing the user-specific acoustic model to another electronic device.   
     
     
         3 . The method of  claim 2 , wherein providing the user-specific acoustic model to another electronic device comprises:
 determining whether the user-specific acoustic model has been trained on a threshold number of speech inputs;   in accordance with a determination that the user-specific acoustic model has been trained on a threshold number of speech inputs, providing the user-specific acoustic model to the another electronic device; and   in accordance with a determination that the user-specific acoustic model has not been trained on a threshold number of speech inputs:
 adjusting the user-specific model based on a second plurality of speech inputs and a second plurality of speech results; and 
 providing the user-specific acoustic model to the another electronic device. 
   
     
     
         4 . The method of  claim 2 , wherein, at the another electronic device:
 receiving the user-specific acoustic model;   receiving a second speech input; and   identifying, with the user-specific acoustic model, a speaker of the second speech input.   
     
     
         5 . The method of  claim 4 , wherein identifying, with the user-specific acoustic model, a speaker of the second speech input comprises:
 providing the second speech input to the user-specific acoustic model to provide a first speech result and a first accuracy score corresponding to the first speech result;   providing the second speech input to another user-specific acoustic model to provide a second speech result and a second accuracy score corresponding to the second speech result; and   identifying the speaker of the second speech input based on the first accuracy score and the second accuracy score.   
     
     
         6 . The method of  claim 4 , wherein receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the first electronic device comprises:
 receiving one or more speech inputs of the plurality of speech inputs from the another electronic device.   
     
     
         7 . The method of  claim 1 , wherein receiving a plurality of speech inputs comprises:
 receiving one or more speech inputs of the plurality of speech inputs at the first electronic device.   
     
     
         8 . The method of  claim 7 , wherein receiving one or more speech inputs of the plurality of speech inputs at the first electronic device comprises:
 obtaining the one or more speech inputs of the plurality of speech inputs from a user utterance corresponding to a phone call.   
     
     
         9 . The method of  claim 7 , wherein receiving one or more speech inputs of the plurality of speech inputs at the first electronic device comprises:
 obtaining the one or more speech inputs of the plurality of speech inputs from a user utterance corresponding to a request for a digital assistant.   
     
     
         10 . The method of  claim 1 , wherein the user-independent acoustic model is based on a dataset, and
 wherein the user-specific acoustic model is initiated using the dataset.   
     
     
         11 . The method of  claim 1 , wherein the user-independent acoustic model has a first number of parameters and the user-specific acoustic model has a second number of parameters, wherein the first number is greater than the second number 
     
     
         12 . The method of  claim 1 , wherein the user-independent acoustic model is an ensemble of two or more acoustic models. 
     
     
         13 . A system, comprising:
 a first electronic device, comprising:
 one or more first processors; a first memory; and one or more first programs, wherein the one or more first programs are stored in the first memory and configured to be executed by the one or more first processors, the one or more first programs including instructions for:
 receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the first electronic device; 
 providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; 
 initiating a user-specific acoustic model on the first electronic device; and 
 adjusting the user-specific acoustic model by providing the plurality of speech inputs and the plurality of speech results to the user-specific acoustic model. 
 
   
     
     
         14 . A plurality of non-transitory computer-readable storage media storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of a first electronic device, cause the first electronic device to:
 receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the first electronic device;   providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs;   initiating a user-specific acoustic model on the first electronic device; and   adjusting the user-specific acoustic model by providing the plurality of speech inputs and the plurality of speech results to the user-specific acoustic model.