Compared with high sample-rate speeches, low sample-rate speeches lose all high frequency components that outrange the Nyquist frequency, which might severely impair the speeches’ sound effects. To address this problem, this paper proposes a novel High-frequency (HF) restoration method of low sample-rate speech based on Bayesian inference, which turns the restoration problem into a maximizing a...

We seek to measure political candidates’ ideological positioning from their speeches. To accomplish this, we infer ideological cues from a corpus of political writings annotated with known ideologies. We then represent the speeches of U.S. Presidential candidates as sequences of cues and lags (filler distinguished only by its length in words). We apply a domain-informed Bayesian HMM to infer th...

TED is a conference where leaders with different interests share their experiences. That conferences are held several times year. Leaders contribute to leadership skills by exchanging information at these conferences. In this research it aimed examine TED’s talks according public relations models within the framework of concept sustainable leadership. The essential in terms revealing and roles ...

While I fi nd the paper interesting, the results provide somewhat of a puzzle. If central bank communication does not affect the predictability of interest rates, why do central banks talk so much? As an example, since 1999 the six members of the Executive Board of Sveriges Riksbank (the central bank of Sweden) gave in combination an average of about 35 speeches per year. On top of that, some s...

Understanding three simultaneous speeches is proposed as a challenge problem to foster arti cial intelligence, speech and sound understanding or recognition, and computational auditory scene analysis research. Automatic speech recognition under noisy environments is attacked by speech enhancement techniques such as noise reduction and speaker adaptation. However, the signal-to-noise ratio of sp...

Different studies provide evidence that the computational psycholinguistic algorithm called Latent Semantic Analysis (LSA) allows measuring local and global coherence in texts similarly to human evaluation (Foltz, Kintsch, Landauer 1998; McNamara, Cai & Louwerse 2007; McCarthy, Briner, Rus, & McNamara, 2007; McNamara, Louwerse & Jeuniaux 2009; Louwerse, McCarthy & Graesser 2010). The texts used...

Emotions can drive intergroup behavior, including intergroup violence. We propose that anger, contempt, and disgust (ANCODI) work together in combination to motivate action, devaluation of the other group, and then elimination of their members. We tested the ANCODI hypothesis by examining speeches given by leaders of extreme political groups prior to major events or rallies that either turned v...

Earlier linguistic studies of political discourse revealed that, not many works exist on pragmatic analysis of impoliteness in this genre. Apart from Mullany (2002), who employs relational and face works to analyses impoliteness in political discourse, Taiwo (2007), Adetunji (2009), and Ademilokun (2015), who employ discourse analytical tools in analyzing the political speeches, there exist ver...