نتایج جستجو برای: speech problem

تعداد نتایج: 984447  

In this paper, a new algorithm is introduced for localization of multiple speakers in echoic environments. The origin of localization is based on combination of TDOA estimates of each source obtained by the BSS algorithm in the time domain. A new BSS algorithm is proposed which improves the quality and channel identification compared to a reference technique and also reduces the computational c...

Journal: :British journal of American legal studies 2022

Abstract The First Amendment commands government neutrality in regulating private speech, but speech itself is exempt from this requirement. Courts have recognized that governance entails educational, informational, and persuasive focused on distinguishing nongovernment speech. Some critics argued that, instead, courts might do well to target manipulates public opinion or abridges as it the con...

Automatic recognition of speech emotional states in noisy conditions has become an important research topic in the emotional speech recognition area, in recent years. This paper considers the recognition of emotional states via speech in real environments. For this task, we employ the power normalized cepstral coefficients (PNCC) in a speech emotion recognition system. We investigate its perfor...

1998
Sorin Dusan Li Deng

Recovering vocal tract shapes from the speech signal is a well known inversion problem of transformation from the articulatory system to speech acoustics. Most of the studies on this problem in the past have been focused on vowels. There have not been general methods e ective for recovering the vocal tract shapes from the speech signal for all classes of speech sounds. In this paper we describe...

2010
Kazutaka Shimada Noriko Tanamachi Tsutomu Endo

In this paper, we propose a method for anaphora resolution in speech understanding for a livelihood support robot. For robust speech recognition, we combine two types of speech recognizers; a large vocabulary continuous speech recognizer (LVCSR) and domain-specific speech recognizers (DSSR). One problem in the anaphora resolution is lack of the antecedent in the outputs. To solve the problem, w...

Journal: :Applied sciences 2022

Electro-laryngeal (EL) speech has poor intelligibility and naturalness, which hampers the popular use of electro-larynx. Voice conversion (VC) can enhance EL speech. However, if to be enhanced is with complicated tone variation rules in Mandarin, enhancement will less effective. This because source (Mandarin speech) target (normal are not strictly parallel. We propose using cycle-consistent gen...

1995
Michael M. Cohen Dominic W. Massaro

We consider the problem of speech recognition given visual and auditory information, and discuss some of the ways that speech synthesis can provide assistance. Three possible contributions of synthetic visual speech are discussed: First, the use of synthetic speech to study human speech perception, second, the use of speech synthesis techniques to instantiate models of human speech production, ...

Journal: :CoRR 2007
Oleg N. Karpov Olga A. Savenkova

Speech recognition based on the syllable segment is discussed in this paper. The principal search methods in space of states for the speech recognition problem by segment-syllabic parameters trajectory synthesis are investigated. Recognition as comparison the parameters trajectories in chosen speech units on the sections of the segmented speech is realized. Some experimental results are given a...

2006
Shingo Kuroiwa

In recent years, IP telephone service has spread rapidly. However, an unavoidable problem of IP telephone service is deterioration of speech due to packet loss, which often occurs on wireless networks. To overcome this problem, we propose a novel lost speech reconstruction method using speech recognition based on Missing Feature Theory and HMM-based speech synthesis. The proposed method uses li...

2008
Randy Gomez Tatsuya Kawahara

Reverberant environment poses a problem in speech recognition application where performance degrades drastically depending on the extent of reverberation. Thus, it is important to employ front-end speech processing, such as dereverberation to minimize its effect. Most dereverberation techniques used to address this problem enhance the reverberant waveform prior to speech recognition. Although t...

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