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Active Ingredients of Voice Therapy for Muscle Tension Voice Disorders: A Retrospective Data Audit
Background: Although voice therapy is the first line treatment for muscle-tension voice disorders (MTVD), no clinical research has investigated the role of specific active ingredients.
Catherine Madill +2 more
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Reflections: A Journal of Community-Engaged Writing and Rhetoric, 2010
Review of Active Voices: Composing a Rhetoric of Social Movements, edited by Sharon McKenzie Stevens and Patricia Malesh. SUNY Press, 2009. 250 pages.
mary ann cain +11 more
+4 more sources
Review of Active Voices: Composing a Rhetoric of Social Movements, edited by Sharon McKenzie Stevens and Patricia Malesh. SUNY Press, 2009. 250 pages.
mary ann cain +11 more
+4 more sources
Evaluation of voice activity and voicing detection
Interspeech 2008, 2008This paper describes the ECESS evaluation campaign of voice activity and voicing detection. Standard VAD classifies signal into speech and non-speech, we extend it to VAD+ so that it classifies a signal as a sequence of non-speech, voiced and unvoiced segments.
Kotnik, Bojan +8 more
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Voice Activity and Participation Profile
Journal of Speech, Language, and Hearing Research, 2001Traditional clinical voice evaluation focuses primarily on the severity of voice impairment, with little emphasis on the impact of voice disorders on the individual’s quality of life. This study reports the development of a 28-item assessment tool that evaluates the perception of voice problem, activity limitation, and participation restriction using ...
Yiu, EML, Ma, EPM
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PASSIVE VOICE AND ACTIVE VOICE
Cemara Education and ScienceBackground: Expert guidelines recommend using active over passive voice to improve clarity in Englishacademic writing. However, few systematic reviews synthesize research on reader outcomes from texts writtenin the passive versus active voice.
null M.Yusri Ali Lubis +1 more
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On noise robust voice activity detection
Interspeech 2011, 2011In this paper, we show that the performance of voice activity detection algorithms (VAD) can be highlydependent on the type of background noise and we introduce a new VAD algorithm that is based onrelative energy measurements in different frequency bands.
Dekens, Tomas, Verhelst, Werner
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Voice-activated AGC for teleconferencing
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002In a group teleconference, sound pressure levels at the microphone vary due to variations in speaking distances and loudness. The conventional automatic gain control (AGC) appropriately adjusts the microphone gain so as to achieve a constant level. However, due to the lack of discrimination between speech and nonspeech sounds, nonspeech sounds can ...
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VOICE-ACTIVATED QUESTION ANSWERING
2006 IEEE Spoken Language Technology Workshop, 2006Summary form only given. Text-based Question Answering technology has made significant progress in the last few years. Cellular phones are now shipping with integrated web browsers. It is clear the next step is to integrate voice input and output with Question Answering systems to alleviate the keyword bottleneck of cellular phones.
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The Journal of the Acoustical Society of America, 1994
Voice activity detector (VAD) for use in an LPC coder in a mobile radio system uses autocorrelation coefficient R 0 , R 1 . . . of the input signal, weighted and combined, to provide a measure M which depends on the power within that part of the spectrum containing no noise, which is thresholded against a variable threshold to provide a speech/no ...
Daniel K. Freeman, Ivan Boyd
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Voice activity detector (VAD) for use in an LPC coder in a mobile radio system uses autocorrelation coefficient R 0 , R 1 . . . of the input signal, weighted and combined, to provide a measure M which depends on the power within that part of the spectrum containing no noise, which is thresholded against a variable threshold to provide a speech/no ...
Daniel K. Freeman, Ivan Boyd
openaire +1 more source

