This paper focuses on the assessment of both the intelligibility and the quality of speech when using a variable degree of articulation (hypo/hyperarticulation) in the framework of HMM-based speech synthesis. Intelligibility is evaluated when the synthesizer is working in adverse conditions. The adaptation of a neutral speech synthesizer to generate hypo and hyperarticulated speech is first per...

Automatic pronunciation assessment has several difficulties. Adequacy in controlling the vocal organs is often estimated from the spectral envelopes of input utterances but the envelope patterns are also affected by other factors such as speaker identity. Recently, a new method of speech representation was proposed where these non-linguistic variations are effectively removed through modeling o...

Recent development in telecommunication services, such as VoIP in NGN and car communications has become increasingly necessary for use of hands-free communication system using separate microphones and loudspeakers. Hands-free system has been largely affected by noisy circumstances. This paper describes experimental results and perspectives for subjective and objective quality assessment of nois...

PURPOSE To describe (a) the assessment of residual speech sound disorders (SSDs) in bilinguals by distinguishing speech patterns associated with second language acquisition from patterns associated with misarticulations and (b) how assessment of domains such as speech motor control and phonological awareness can provide a more complete understanding of SSDs in bilinguals. METHOD A review of J...

FOR SPEECH ENHANCEMENT ALGORITHMS John H.L. Hansen and Bryan L. Pellom Robust Speech Processing Laboratory Duke University, Box 90291, Durham, NC 27708-0291 http://www.ee.duke.edu/Research/Speech [email protected] [email protected] ABSTRACT Much progress has been made in speech enhancement algorithm formulation in recent years. However, while researchers in the speech coding and recognition communi...