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We propose a system to embed watermark message into audio signal, which can be used for copyright protection. It uses spread spectrum theory to generate a watermark that resistants to different removal attempts. We exploit the psychoacoustic auditory model to guarantee the audio signal's perceptual quality after the watermark embedding procedure. Recovery is performed without knowledge of the original...
How to construct models for speech/nonspeech discrimination is a crucial point for voice activity detectors (VADs). Semi-supervised learning is the most popular way for model construction in conventional VADs. In this correspondence, we propose an unsupervised learning framework to construct statistical models for VAD. This framework is realized by a sequential Gaussian mixture model. It comprises...
This paper discusses tone pronunciation scoring for Mandarin multi-syllable words in Computer Assisted Language Learning (CALL) System. A commonly used tone evaluation method is using GMM to model various pitch sequence. Because the pattern of pitch sequence will change a lot in the multisyllable context, tone models trained on mono-tone database will not have good performance on multi-syllable speech...
In this paper, we introduced an unsupervised method to remove fillers in spoken dialogues semi-automatically based on their probability distribution and the effect of removing fillers to induce semantic classes. We conduct the unigram and bigram distribution of fillers on our Chinese voice search data and find that only using these distributions, fillers are in the first 1% of all words. We also test...
In this paper, we introduced an unsupervised method to remove fillers in spoken dialogues semi-automatically based on their probability distribution. Disfluencies such as fillers, repairs often make the sentence ill-formed, longer and hard to process. Fillers were emphasized instead of repairs in this paper. We conduct the unigram and bigram distribution of fillers on our Chinese voice search data...
Modern lifestyles have increased the risk of suffering some kind of voice disorders. It is estimated that nearly 19% of the population have suffered from dysphonic voicing. It is very important to detect pathological voices automatically. Many classification methods have been used to detect the pathological voices automatically and got good results. In this paper, we focus on the automatic detection...
In this paper, a synchronous method based on state graph is proposed to calculate the evaluation feature for automatic scoring in computer-assisted language learning (CALL). The posterior probabilities of states are selected as the main feature. The score of hypothesized phonemes and words are estimated using the information of corresponding states. Traditional systems use two passes and two different...
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