The application of digital speech processing to stuttering therapy

Awad, S.S.

doi:10.1109/imtc.1997.612421

Cited by 20 publications

(16 citation statements)

References 9 publications

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“…The dysfluencies associated with stuttering can be classed into the following categories [2,8,9,11,30]:…”

Section: Results and Analysismentioning

confidence: 99%

“…Stuttering cannot be permanently cured, however, it may go into remission after some time, or stutterers can learn to shape their speech into fluent speech with the appropriate speech pathology treatment. This shaping has its effects on the tempo, loudness, effort, or duration of their utterances [7,9]. Stuttering has been found to be more prevalent in males than females (ratio 4:1) [1,2,6,9,10].…”

Section: Introductionmentioning

confidence: 99%

“…This shaping has its effects on the tempo, loudness, effort, or duration of their utterances [7,9]. Stuttering has been found to be more prevalent in males than females (ratio 4:1) [1,2,6,9,10]. Stutterers and non-stutterers alike have speech dysfluencies, which are gaffes or disturbances in the flow of words a speaker plans to say, but dysfluencies are more observable in stutterers' speech [11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Approach to Stuttered Speech Correction

Alim

Rashid

Sediono

et al. 2016

Jurnal Ilmu Komputer dan Informasi

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Stuttered speech is a dysfluency rich speech, more prevalent in males than females. It has been associated with insufficient air pressure or poor articulation, even though the root causes are more complex. The primary features include prolonged speech and repetitive speech, while some of its secondary features include, anxiety, fear, and shame. This study used LPC analysis and synthesis algorithms to reconstruct the stuttered speech. The results were evaluated using cepstral distance, Itakura-Saito distance, mean square error, and likelihood ratio. These measures implied perfect speech reconstruction quality. ASR was used for further testing, and the results showed that all the reconstructed speech samples were perfectly recognized while only three samples of the original speech were perfectly recognized. Keywords: stuttered speech, speech reconstruction, LPC analysis, LPC synthesis, objective quality measure AbstrakShuttered speech adalah speech yang kaya dysfluency, lebih banyak terjadi pada laki-laki daripada perempuan. Ini terkait dengan tekanan udara yang tidak cukup atau artikulasi yang buruk, meskipun akar penyebabnya lebih kompleks. Fitur utama termasuk speech yang berkepanjangan dan berulangulang, sementara beberapa fitur sekunder meliputi, kecemasan, ketakutan, dan rasa malu. Penelitian ini menggunakan LPC analysis dan synthesis algoritma untuk merekonstruksi stuttered speech. Hasil dievaluasi menggunakan jarak cepstral, jarak Itakura-Saito, mean square error, dan rasio likelihood. Langkah-langkah ini terkandung kualitas speech reconstruction yang sempurna. ASR digunakan untuk pengujian lebih lanjut, dan hasilnya menunjukkan bahwa semua sampel speech yang terekonstruksi dikenali dengan sempurna sementara hanya tiga sampel dari speech asli dikenali dengan sempurna.

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“…The dysfluencies associated with stuttering can be classed into the following categories [2,8,9,11,30]:…”

Section: Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Approach to Stuttered Speech Correction

Alim

Rashid

Sediono

et al. 2016

Jurnal Ilmu Komputer dan Informasi

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“…The system is developed for individuals who suffer from Quadriplegia, Paraplegia, Thyrotrophic lateral sclerosis, paralysis, congenital defect(s) or accident, leading to the de-generated growth of or amputated limbs. In [20], the authors present a speech fluency treatment as the therapy for individuals with speech stuttering problems. The software works by using computer generated audio and visual cues to illustrate to the stuttering patient when his/her speech is irregular or different from the clinician's expectation.…”

Section: Background On Serious Gamesmentioning

confidence: 99%

A serious game for children with speech disorders and hearing problems

Nasiri

Shirmohammadi

Rashed

2017

2017 IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH)

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Electronics and Computer Engineering"Creativity, problem solving, critical and analytical thinking, decision making, risk taking, all found in game-based learning.". Mark Grundel A Serious Game for Children with Speech Disorders and Hearing ProblemsNahid Nasiri AbstractSpeech impediment affecting children with hearing difficulties and speech disorders requires speech therapy and much practice to overcome. In fact, speech therapy via serious games gives an opportunity to children with speech disorders and hearing problems to overcome their problems. As far as children are more inclined to play games, so we intend to learn them by entertainments like serious games. In this thesis, we have designed and implemented a serious game that can be used both as a therapy and as a tool to measure the performance of children with speech impediments in which children will learn to speak specific words that they are expected to know before the age of 7. And then we will teach them how to make sentences. The game consists of three steps. The first step provides information for parents or therapists to decide if their child needs speech therapy or not. In the second step, the child starts to learn specific words while playing the game. The third step aims to measure the performance of the child and evaluate how much the child has learned at the end of the game. The game has an avatar which can be controlled by the child through speech, with the objective of moving the avatar around the environment to earn coins. The avatar is controlled by both voice commands such as Jump, Ahead, Back, Left, Right, and arrow keys of the keyboard. The child will be guided by an arrow during the game instead of getting help from a therapist or a teacher to guide the child to the next goal. This allows the child to practice longer hours, compared to clinical approaches under the supervision of a therapist, which are time-limited. Our preliminary performance measurements indicate an improvement of 40% for children who play our game at least 5 times and a specific period of time.

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“…Speech consists of articulation, voice and fluency. However, there is 1% of the population have noticeable speech stuttering problem and it has been found to affect female to male with ratio 1: 3 or 4 times [1,2]. Stuttering is defined as a normal flow of which is disrupted by unintentionally of dysfluencies such as repetition, prolongation, interjection of syllables, sounds, words or phrases and involuntary silent pauses or blocks in communication [1,3].…”

Section: Introductionmentioning

confidence: 99%

Classification of Speech Dysfluencies Using LPC Based Parameterization Techniques

et al. 2011

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The goal of this paper is to discuss and compare three feature extraction methods: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and Weighted Linear Prediction Cepstral Coefficients (WLPCC) for recognizing the stuttered events. Speech samples from the University College London Archive of Stuttered Speech (UCLASS) were used for our analysis. The stuttered events were identified through manual segmentation and were used for feature extraction. Two simple classifiers namely, k-nearest neighbour (kNN) and Linear Discriminant Analysis (LDA) were employed for speech dysfluencies classification. Conventional validation method was used for testing the reliability of the classifier results. The study on the effect of different frame length, percentage of overlapping, value of ã in a first order pre-emphasizer and different order p were discussed. The speech dysfluencies classification accuracy was found to be improved by applying statistical normalization before feature extraction. The experimental investigation elucidated LPC, LPCC and WLPCC features can be used for identifying the stuttered events and WLPCC features slightly outperforms LPCC features and LPC features.

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The application of digital speech processing to stuttering therapy

Cited by 20 publications

References 9 publications

A Novel Approach to Stuttered Speech Correction

A Novel Approach to Stuttered Speech Correction

A serious game for children with speech disorders and hearing problems

Classification of Speech Dysfluencies Using LPC Based Parameterization Techniques

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