US 2014/0236591 A1Published application

Method and system for automatic speech recognition

AssigneeTencent Technology (Shenzhen) Company Limited

InventorsShuai YUE, Li Lu, Xiang Zhang, Dadong Xie, Bo Chen, Feng Rao

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Abstract

A method of recognizing speech is provided that includes generating a decoding network that includes a primary sub-network and a classification sub-network. The primary sub-network includes a classification node corresponding to the classification sub-network. The classification sub-network corresponds to a group of uncommon words. A speech input is received and decoded by instantiating a token in the primary sub-network and passing the token through the primary network. When the token reaches the classification node, the method includes transferring the token to the classification sub-network and passing the token through the classification sub-network. When the token reaches an accept node of the classification sub-network, the method includes returning a result of the token passing through the classification sub-network to the primary sub-network. The result includes one or more words in the group of uncommon words. A string corresponding to the speech input is output that includes the one or more words.

Claims15

Dependent claims

A method of recognizing speech, comprising:

generating a decoding network for decoding speech input, the decoding network comprising a primary sub-network and one or more classification sub-networks, wherein:
the primary sub-network includes a plurality of classification nodes, each classification node corresponding to a respective classification sub-network of the one or more classification sub-networks;
and
each classification sub-network of the one or more classification sub-networks corresponds to a group of uncommon words;
receiving a speech input;
and
decoding the speech input by:
instantiating a token corresponding to the speech input in the primary sub-network;
passing the token through the primary network;
when the token reaches a respective classification node of the plurality of classification nodes, transferring the token to the corresponding classification sub-network;
passing the token through the corresponding classification sub-network;
when the token reaches an accept node of the classification sub-network, returning a result of the token passing through the classification sub-network to the primary sub-network, wherein the result includes one or more words in the group of uncommon words corresponding to the classification sub-network
outputting a string corresponding to the speech input that includes the one or more words.

10 more elements

An electronic device, comprising:

one or more processors;
memory;
and
one or more programs, wherein the one or more programs are stored in memory and configured to be executed by the one or more processors, the one or more programs including an operating system and instructions that when executed by the one or more processors cause the electronic device to:
generate a decoding network for decoding speech input, the decoding network comprising a primary sub-network and one or more classification sub-networks, wherein:
the primary sub-network includes a plurality of classification nodes, each classification node corresponding to a respective classification sub-network of the one or more classification sub-networks;
and
each classification sub-network of the one or more classification sub-networks corresponds to a group of uncommon words;
receive a speech input;
and
decode the speech input by:
instantiating a token corresponding to the speech input in the primary sub-network;
passing the token through the primary network;
when the token reaches a respective classification node of the plurality of classification nodes, transferring the token to the corresponding classification sub-network;
passing the token through the corresponding classification sub-network;
when the token reaches an accept node of the classification sub-network, returning a result of the token passing through the classification sub-network to the primary sub-network, wherein the result includes one or more words in the group of uncommon words corresponding to the classification sub-network
output a string corresponding to the speech input that includes the one or more words.

14 more elements

A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with one or more processors and memory, cause the electronic device to:

generate a decoding network for decoding speech input, the decoding network comprising a primary sub-network and one or more classification sub-networks, wherein:
the primary sub-network includes a plurality of classification nodes, each classification node corresponding to a respective classification sub-network of the one or more classification sub-networks;
and
each classification sub-network of the one or more classification sub-networks corresponds to a group of uncommon words;
receive a speech input;
and
decode the speech input by:
instantiating a token corresponding to the speech input in the primary sub-network;
passing the token through the primary network;
when the token reaches a respective classification node of the plurality of classification nodes, transferring the token to the corresponding classification sub-network;
passing the token through the corresponding classification sub-network;
when the token reaches an accept node of the classification sub-network, returning a result of the token passing through the classification sub-network to the primary sub-network, wherein the result includes one or more words in the group of uncommon words corresponding to the classification sub-network
output a string corresponding to the speech input that includes the one or more words.

10 more elements

Dependencies are inferred from the claim text.