Sentence examples for speech bottleneck from inspiring English sources

Second, the speech bottleneck features can be extracted from the bottleneck layer of the sparse bottleneck DNN (BN-DNN).

In this paper, a novel speech bottleneck feature extraction method based on overlapping group lasso sparse deep neural network is proposed.

Finally, the speech bottleneck features are used as the input features of the deep neural network-hidden Markov model (DNN-HMM) speech recognition system.

This method extracts the speech bottleneck features which contain supervised class information and adjacent voice frames related information by changing the architecture of deep neural network (DNN), to improve of the performance speech recognition.

The large vocabulary continuous speech recognition experiment results on the Switchboard database indicate that the algorithm proposed in this paper can extract the speech bottleneck features with priori information, and reduce the word error rate in continuous speech recognition.

For a trained DNN, giving a frame or multiframes of reverberant speech, we took the bottleneck layer as the output feature.

In other words, goodbye bottlenecks.

Later, NNs were also applied in ASR front ends for extracting discriminatively trained speech features (denoted as tandem [17] or bottleneck (BN) [10] approaches).

So the bottleneck you need to address is Amtrak.

For the DNN-based bottleneck feature, we noted that DNNs can transform the reverberant speech feature to a new feature space with greater discriminative classification ability for distant-talking speaker recognition.

For the DNN-based bottleneck feature (BF-DNN), we noted that DNNs can transform the reverberant speech feature to a new feature space with greater discriminative classification ability for distant-talking speaker recognition.