What are attention-based models?

What are attention-based models?

Attention-based models belong to a class of models commonly called sequence-to-sequence models. The aim of these models, as name suggests, it to produce an output sequence given an input sequence which are, in general, of different lengths.

What is CTC attention?

A method called joint connectionist temporal classification (CTC)-attention-based speech recognition has recently received increasing focus and has achieved impressive performance. A hybrid end-to-end architecture that adds an extra CTC loss to the attention-based model could force extra restrictions on alignments.

What is location sensitive attention?

Location Sensitive Attention is an attention mechanism that extends the additive attention mechanism to use cumulative attention weights from previous decoder time steps as an additional feature.

What is speech recognition in neural network?

Automatic speech recognition (ASR) refers to the task of recognizing human speech and translating it into text. More recently, neural networks such as recurrent neural networks (RNNs), convolutional neural networks (CNNs) and in the last years Transformers, have been applied on ASR and have achieved great performance.

What is LSTM model?

Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. LSTM networks are well-suited to classifying, processing and making predictions based on time series data, since there can be lags of unknown duration between important events in a time series.

Does attention based end to end speech recognition require a pronunciation dictionary?

End-to-end automatic speech recognition (ASR) has become a popular alternative to conventional DNN/HMM systems because it avoids the need for linguistic resources such as pronunciation dictionary, tokenization, and context-dependency trees, leading to a greatly simplified model-building process.

What is CTC deep learning?

Connectionist temporal classification (CTC) is a type of neural network output and associated scoring function, for training recurrent neural networks (RNNs) such as LSTM networks to tackle sequence problems where the timing is variable.

What are attention vectors?

Attention is simply a vector, often the outputs of dense layer using softmax function. However, attention partially fixes this problem. It allows machine translator to look over all the information the original sentence holds, then generate the proper word according to current word it works on and the context.

What is attention mechanism in neural networks?

A neural network is considered to be an effort to mimic human brain actions in a simplified manner. Attention Mechanism is also an attempt to implement the same action of selectively concentrating on a few relevant things, while ignoring others in deep neural networks.

What are CNN models?

CNN is a type of neural network model which allows us to extract higher representations for the image content. Unlike the classical image recognition where you define the image features yourself, CNN takes the image’s raw pixel data, trains the model, then extracts the features automatically for better classification.

What are the types of speech recognition?

There are two types of speech recognition: dependent and independent:

  • Independent speech recognition can be defined as the recognition of vocabulary items without regard to who is speaking.
  • Dependent speech recognition is the recognition of vocabulary items spoken by a particular speaker.

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