Howtosignalprocessing
- Can neural networks be used for speech recognition?
- Which neural network is best for speech recognition?
- Why are neural networks used for speech recognition?
- Which algorithm is used for voice recognition?
Can neural networks be used for speech recognition?
Neural networks are very powerful for recognition of speech. There are various networks for this process. RNN, LSTM, Deep Neural network and hybrid HMM-LSTM are used for speech recognition.
Which neural network is best for speech recognition?
Convolutional Neural Network (CNN) is applied as advanced deep neural networks to classify each word from our pooled data set as a multi-class classification task. The proposed deep neural network returned 97.06% as word classification accuracy with a completely unknown speech sample.
Why are neural networks used for speech recognition?
Neural networks perform very well at learning phoneme probability from highly parallel audio input, while Markov models can use the phoneme observation probabilities that neural networks provide to produce the likeliest phoneme sequence or word.
Which algorithm is used for voice recognition?
In one of the works [10], speech pre-processing method was considered using the VAD algorithm, which proves that this algorithm improves the performance of speech recognition.
