Sentence examples for applied speaker from inspiring English sources

Due to the lack of large enough singing databases to train a singing recognizer, we used a phonetic recognizer that was trained on speech and applied speaker adaptation techniques to adapt the models to singing voice.

The fMLLR in both types of ASR systems has 78×79 parameters and is estimated using the HMM/GMM-based system applying speaker adaptive training (SAT) [55].

The method proposed in Fig. 2 may potentially be complementary to some other reverberation-robust speech recognition methods, such as applying speaker adaptation, acoustic model adaptation or preprocessing schemes (e.g. beamforming) [40].

The fMLLR was estimated using the GMM-based system applying speaker-adaptive training (SAT) [26, 27].

Neither of these semi-fragile approaches can be successfully applied to speaker recognition because the watermark is embedded in the relevant speaker sub-bands; they are also unable to provide appropriate trade-offs among capacity, semi-fragility, and imperceptibility.

These models can also be applied to speaker verification systems in each of the shouted and emotional talking environments and to multilanguage speaker identification systems.

The proposed classifier is also found to reduce the number of support vectors by a factor of 1.12 3.73 when applied to speaker identification and isolated letter recognition problems.

Cepstral mean subtraction was applied per speaker.

Marginalization [11],[14] and reconstruction [10] have been applied in speaker recognition system.

Cepstral mean normalization is applied per speaker and up to second-order derivatives are appended.

The FA technique has been successfully applied in speaker ID (recognition/verification) [34] [38] and language recognition [39] with significant improvements with respect to GMM or SVM.