Sentence examples for speakers were estimated from inspiring English sources

Speakers were estimated at more than 8 million in the late 20th century.

The results for this case are shown in Figure 3, and the corresponding Root Mean Square Error (RMSE) values are shown in Table 2. Table 2 Root Mean Square Error (RMSE) values for the case where the active speakers are estimated, where the RMSE values are calculated from distance estimation in meters (m).

The number of Esperanto speakers is estimated at more than 100,000.

Likelihoods for each candidate speakers are estimated in a second pass over the iVector stream using the cosine distance and the prior probability of each candidate speaker.

The underlying states of the speakers are estimated using the factorial Viterbi algorithm (see Algorithm 1) given the models inferred in the training phase.

The meta-states of the underlying Markov processes (modeling the speakers) are estimated by K-means based training in the diffusion domain, as in the previous section.

For example, in [24], the speakers are estimated by jointly optimizing a soft time-frequency mask layer with deep recurrent neural networks.

We will show the results when the number of active speakers is estimated at each time step and the silence region detection step is included to eliminate the noise only frequencies.

During speaker adaptation, a speaker-dependent eigenphone matrix representing the main phone variation patterns for a specific speaker is estimated.

In the MVDR beamformer, the noise coherence matrix is estimated online using a VAD, whereas the DOA of the target speaker is estimated using the MUSIC algorithm.

The best warp factor for speaker is estimated by maximizing the likelihood of the warped features with respect to the HMM model and transcriptions : (9).