This study examined the management of aspiration in skilled nursing settings, by determining speech-language pathologists' and nursing staff members' agreement about aspiration, interventions, and impact on residents' nutrition and hydration status, as determined by agreement scores on a questionnaire.
A CPSD-based voice activity detection (VAD) [36] is used to determine speech segments.
Until now, no objective method with low effort and costs existed to determine speech and voice outcome.
The approach is enabled by a room-dependent speech activity detection module that employs appropriate multichannel features to determine speech segments and their room of origin, feeding them to the corresponding room-dependent pipelines for further processing.
On the one hand, the unpredictability at the level of the context sentence, achieved by presenting not only Naming- and Request-eliciting context sentences but also other speech acts, prevented the participants from determining the speech act type of the following utterance with certainty before the critical word appeared.
For example, the facial expression module best categorized the happy expression images, whereas the speech module determined the speech of sad emotion with the best accuracy.
(1986): "The identity of the speaker is not decisive in determining whether speech is protected.
Thus, with respect to the objective benefit determined by speech testing, three different outcome measures (speech in a quiet environment, speech in steady-state noise, and speech in fluctuating noise) emerged.
Further discussion of such extensions is given in Section 7. Our correlation studies provide direction in determining which speech-rate-based vocal features may be useful for detecting depression symptoms.
A further example is the reverberation modeling for speech recognition (REMOS) framework [8], which combines a clean speech model with a reverberation model to determine clean speech and reverberation estimates during recognition via a modified Viterbi algorithm.
