Dysarthric speakers' intelligibility and speech characteristics in relation to computer speech recognition

Ferrier, Linda J.; Shane, Howard C.; Ballard, Holly; Carpenter, Tyler J.; Benoît, Anne

doi:10.1080/07434619512331277289

Cited by 66 publications

(39 citation statements)

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“…When compared with systems adapted (or developed) for dysarthric speakers, this interface achieved performance comparable to those for small vocabularies (<100 words) [9,16] and a similar level of dysarthria [9]. For a system with a similar test vocabulary (300 words) and a speaker with a similar level of dysarthria [11], the interface achieved a higher performance.…”

Section: Experiments With Dysarthric Peoplementioning

confidence: 99%

“…The use of commercial systems, such as Dragon Naturally Speaking, Microsoft Dictation, VoicePad Platinum and Infovox RA [9,10,11,12], has shown varying levels of recognition (in the range of 50% to 95%) for users with different levels of dysarthria, obtaining the best performance for small vocabularies (10 -78 words).…”

Section: Applications Of Asr On Dysarthric Speechmentioning

confidence: 99%

“…Table 6. Accuracy of the Speech Interface and comparison with other systems: human and commercial ASR on normal speech [36]; commercial and developed systems on dysarthric speech with intelligibility levels: high [9], moderate [11], and low [16].…”

Section: Experiments With Dysarthric Peoplementioning

confidence: 99%

See 2 more Smart Citations

Speech-Based Human and Service Robot Interaction: An Application for Mexican Dysarthric People

Morales

Enríquez

Trujillo-Romero

2013

International Journal of Advanced Robotic Systems

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Dysarthria is a motor speech disorder due to weakness or poor coordination of the speech muscles. This condition can be caused by a stroke, traumatic brain injury, or by a degenerative neurological disease. Commonly, people with this disorder also have muscular dystrophy, which restricts their use of switches or keyboards for communication or control of assistive devices (i.e., an electric wheelchair or a service robot). In this case, speech recognition is an attractive alternative for interaction and control of service robots, despite the difficulty of achieving robust recognition performance. In this paper we present a speech recognition system for human and service robot interaction for Mexican Spanish dysarthric speakers. The core of the system consisted of a Speaker Adaptive (SA) recognition system trained with normal-speech. Features such as on-line control of the language model perplexity and the adding of vocabulary, contribute to high recognition performance. Others, such as assessment and text-to-speech (TTS) synthesis, contribute to a more complete interaction with a service robot. Live tests were performed with two mild dysarthric speakers, achieving recognition accuracies of 90-95% for spontaneous speech and 95-100% of accomplished simulated service robot tasks.

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Section: Experiments With Dysarthric Peoplementioning

confidence: 99%

Section: Applications Of Asr On Dysarthric Speechmentioning

confidence: 99%

See 1 more Smart Citation

Speech-Based Human and Service Robot Interaction: An Application for Mexican Dysarthric People

Morales

Enríquez

Trujillo-Romero

2013

International Journal of Advanced Robotic Systems

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“…The correlation between the ASR error rate and the human evaluation of intelligibility can then be used to develop ASR as an objective measure of speech intelligibility. Systems have evolved from simply scoring word error rates in a read passage (Ferrier et al, 1995) over word-lists to phone and phonological feature recognition in full text reading (Middag et al, 2014). It also has been shown that other approaches based on phonological modelling (Middag et al, 2009), vocal fold modelling (Bocklet et al, 2011a), or acoustic modelling can improve intelligibility measurement of speakers with pathologic voices.…”

Section: Speaker Pathologymentioning

confidence: 99%

A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge

Schuller

Steidl

Batliner

et al. 2015

Computer Speech & Language

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The INTERSPEECH 2012 Speaker Trait Challenge aimed at a unified test-bed for perceived speaker traits -the first challenge of this kind: personality in the five OCEAN personality dimensions, likability of speakers, and intelligibility of pathologic speakers. In the present article, we give a brief overview of the state-of-the-art in these three fields of research and describe the three sub-challenges in terms of the challenge conditions, the baseline results provided by the organisers, and a new openSMILE feature set, which has been used for computing the baselines and which has been provided to the participants. Furthermore, we summarise the approaches and the results presented by the participants to show the various techniques that are currently applied to solve these classification tasks.

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“…Table 2 shows the existing research carried out to determine the effect of the speech impairments on the ASR system's performance. Ferrier et.al [29] have determined the relationship between the speech intelligibility and ASR accuracy whereby high intelligibility leads to high recognition accuracy. There has also been growing interest among the researchers to explore the speech characteristics of impaired speech towards the development of ASR system which can recognize impaired speech.…”

Section: Research Backgroundmentioning

confidence: 99%

The Effect Of Changes In Speech Features On The Recognition Accuracy Of ASR System: A Study On The Malay Speech Impaired Children

Rosdi

Mustafa

Salim

et al. 2017

MJCS

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Speech impairments refers to disability that causes the human speech production to deviate from the norm. Although there have been several researches undertaken to identify the differences between non-impaired and impaired speech, little is known about their effects on the speech intelligibility and the performance of ASR systems in recognizing impaired speech of children. This study investigates the speech features of impaired speech in relation to intelligibility deficits and degradation in ASR performance; which includes, formant frequencies, intensity, fundamental frequency (F0) and perturbation features such as jitter and shimmer. As there is no existing speech database for performing the evaluation, we have developed a speech database of speech impaired children and have analysed the impaired speech features. We have identified significant differences in the selected features. We also have identified the relationship between the ASR system's Word Error Rate (WER) of impaired speeches with the speech features. The results show that there are significant differences in F0, jitter and shimmer across the Control Group (CG) and the Speech Impaired Group (SIG). This paper explains the differences between impaired speeches and non-impaired speeches that can be used in developing automated speech recognition system. We have observed that F0 affects the ASR performance and was found to be a significant predictor that influences the accuracy of vowel phonemes /e/ and /u/.

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Dysarthric speakers' intelligibility and speech characteristics in relation to computer speech recognition

Cited by 66 publications

References 1 publication

Speech-Based Human and Service Robot Interaction: An Application for Mexican Dysarthric People

Speech-Based Human and Service Robot Interaction: An Application for Mexican Dysarthric People

A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge

The Effect Of Changes In Speech Features On The Recognition Accuracy Of ASR System: A Study On The Malay Speech Impaired Children

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