Negative intraoral pressure in German: Evidence from an exploratory study

Fuchs, Susanne; Rodgers, Blake

doi:10.1017/s0025100313000236

Cited by 8 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Articulatory measurements of speech in preparation show that the tip of the tongue together with the increased inhalation may cause click sounds [37]. Although a velaric airstream cannot be excluded, it is more likely that an inhalation gesture with a sudden and strong vertical downwards movement of the larynx combined with an increased glottal opening provides the necessary negative pressure [9].…”

Section: Figurementioning

confidence: 99%

Rhythmic Patterns in Native and Non-Native Mandarin Speech

Gu¹,

Hirose²

2014

Speech Prosody 2014

View full text Add to dashboard Cite

When analysing human spoken communication the focus on the linguistic side lies on speech with its verbal message, whereas the focus on the non-linguistic side usually is on the visually transported information such as gestures and facial expression. However, speech, especially in talk-in-interaction, also features numerous nonverbal vocalisations including various forms of laughter and inhalation noises as their most frequent forms. Although nonverbal vocalisations are usually short in duration they may provide rich information on linguistic, paralinguistic and extralinguistic levels including prosodic phrasing, cognitive load, affective state or speaker identity. The paper provides an overview of the phonetic and prosodic structure and the timing of laughter and audible breathing. Special attention is given on conversational speech, where we can frequently find situations in which interlocutors overlap temporally and on apical click sounds that often occur with inhalation before upcoming articulation but also during word-finding difficulties.

show abstract

Section: Figurementioning

confidence: 99%

Rhythmic Patterns in Native and Non-Native Mandarin Speech

Gu¹,

Hirose²

2014

Speech Prosody 2014

View full text Add to dashboard Cite

show abstract

“…The jet flows are also influenced by the alphabet-specific oral-motor controls, such as the closing-opening lips in /B/, the teeth touching in /C/, and the tip of the tongue pushing against the alveolar ridge in /D/. Inversely, based on the oral flow dynamics, one can infer the inner oral-motor motions, such as lip opening, tongue-tip retraction, tongue-root advancement, jaw dropping, and larynx lowering, which can further vary in duration, amplitude, and sequence [ 49 ]. It is observed that schlieren imaging captures only the side view of the lip and jaw motions, not the movements of the teeth and tongue inside the oral cavity.…”

Section: Discussionmentioning

confidence: 99%

Schlieren imaging and video classification of alphabet pronunciations: exploiting phonetic flows for speech recognition and speech therapy

Talaat,

Barari,

et al. 2024

Vis. Comput. Ind. Biomed. Art

View full text Add to dashboard Cite

Speech is a highly coordinated process that requires precise control over vocal tract morphology/motion to produce intelligible sounds while simultaneously generating unique exhaled flow patterns. The schlieren imaging technique visualizes airflows with subtle density variations. It is hypothesized that speech flows captured by schlieren, when analyzed using a hybrid of convolutional neural network (CNN) and long short-term memory (LSTM) network, can recognize alphabet pronunciations, thus facilitating automatic speech recognition and speech disorder therapy. This study evaluates the feasibility of using a CNN-based video classification network to differentiate speech flows corresponding to the first four alphabets: /A/, /B/, /C/, and /D/. A schlieren optical system was developed, and the speech flows of alphabet pronunciations were recorded for two participants at an acquisition rate of 60 frames per second. A total of 640 video clips, each lasting 1 s, were utilized to train and test a hybrid CNN-LSTM network. Acoustic analyses of the recorded sounds were conducted to understand the phonetic differences among the four alphabets. The hybrid CNN-LSTM network was trained separately on four datasets of varying sizes (i.e., 20, 30, 40, 50 videos per alphabet), all achieving over 95% accuracy in classifying videos of the same participant. However, the network’s performance declined when tested on speech flows from a different participant, with accuracy dropping to around 44%, indicating significant inter-participant variability in alphabet pronunciation. Retraining the network with videos from both participants improved accuracy to 93% on the second participant. Analysis of misclassified videos indicated that factors such as low video quality and disproportional head size affected accuracy. These results highlight the potential of CNN-assisted speech recognition and speech therapy using articulation flows, although challenges remain in expanding the alphabet set and participant cohort.

show abstract

“…Various researchers note that it is sometimes hard to clearly determine a click's place of closure or the type of airstream used [2][3][4]21]. Ogden [4] mentions percussives as another category of click-like sounds in discourse.…”

Section: Phonetic Characteristics Of Clicksmentioning

confidence: 99%

Inter-Speech Clicks in an Interspeech Keynote

Trouvain¹,

Malisz²

2016

Interspeech 2016

View full text Add to dashboard Cite

Clicks are usually described as phoneme realisations in some African languages or as paralinguistic vocalisations, e.g. to signal disapproval or as sound imitation. A more recent discovery is that clicks are, presumably unintentionally, used as discourse markers indexing a new sequence in a conversation or before a word search. In this single-case study, we investigated more than 300 apical clicks of an experienced speaker during a keynote address at an Interspeech conference. The produced clicks occurred only in inter-speech intervals and were often combined with either hesitation particles like "uhm" or audible inhalation. Our observations suggest a link between click production and ingressive airflow as well as indicate that clicks are used as hesitation markers. The rather high frequency of clicks in the analysed sections from the 1-hour-talk shows that in larger discourse, the time between articulatory phases consists of more than silence, audible inhalation and typical hesitation particles. The rather large variation in the intensity and duration and particularly the number of bursts of the observed clicks indicates that this prosodic discourse marker seems to be a rather acoustically inconsistent phonetic category.

show abstract

Negative intraoral pressure in German: Evidence from an exploratory study

Cited by 8 publications

References 22 publications

Rhythmic Patterns in Native and Non-Native Mandarin Speech

Rhythmic Patterns in Native and Non-Native Mandarin Speech

Schlieren imaging and video classification of alphabet pronunciations: exploiting phonetic flows for speech recognition and speech therapy

Inter-Speech Clicks in an Interspeech Keynote

Contact Info

Product

Resources

About