Reporting is essential in language use,including the re-expression of other people’s or self’s words,opinions,psychological activities,etc.Grasping the translation methods of reported speech in German academic paper...Reporting is essential in language use,including the re-expression of other people’s or self’s words,opinions,psychological activities,etc.Grasping the translation methods of reported speech in German academic papers is very important to improve the accuracy of academic paper translation.This study takes the translation of“Internationalization of German Universities”(Die Internationalisierung der deutschen Hochschulen),an academic paper of higher education,as an example to explore the translation methods of reported speech in German academic papers.It is found that the use of word order conversion,part of speech conversion and split translation methods can make the translation more accurate and fluent.This paper helps to grasp the rules and characteristics of the translation of reported speech in German academic papers,and also provides a reference for improving the quality of German-Chinese translation.展开更多
This paper is to present a typology of refusal strategies which may be employed in the analysis of refusal performance from a discourse approach.Some previous research carried out is reviewed in order to classify non-...This paper is to present a typology of refusal strategies which may be employed in the analysis of refusal performance from a discourse approach.Some previous research carried out is reviewed in order to classify non-native speakers' production of this speech act.Then,the suggested taxonomy will be described in a systematized way from an interlanguage pragmatic perspective and within a conversational analysis framework.Finally,it is emphasized that effective communicative competence plays an important role in the production of this face-threatening speech act of refusing.展开更多
Purpose:Our study aims to compare speech understanding in noise and spectral-temporal resolution skills with regard to the degree of hearing loss,age,hearing aid use experience and gender of hearing aid users.Methods:...Purpose:Our study aims to compare speech understanding in noise and spectral-temporal resolution skills with regard to the degree of hearing loss,age,hearing aid use experience and gender of hearing aid users.Methods:Our study included sixty-eight hearing aid users aged between 40-70 years,with bilateral mild and moderate symmetrical sensorineural hearing loss.Random gap detection test,Turkish matrix test and spectral-temporally modulated ripple test were implemented on the participants with bilateral hearing aids.The test results acquired were compared statistically according to different variables and the correlations were examined.Results:No statistically significant differences were observed for speech-in-noise recognition,spectraltemporal resolution among older and younger adults in hearing aid users(p>0.05).There wasn’t found a statistically significant difference among test outcomes as regards different hearing loss degrees(p>0.05).Higher performances were obtained in terms of temporal resolution in male participants and participants with more hearing aid use experience(p<0.05).Significant correlations were obtained between the results of speech-in-noise recognition,temporal resolution and spectral resolution tests performed with hearing aids(p<0.05).Conclusion:Our study findings emphasized the importance of regular hearing aid use and it showed that some auditory skills can be improved with hearing aids.Observation of correlations among the speechin-noise recognition,temporal resolution and spectral resolution tests have revealed that these skills should be evaluated as a whole to maximize the patient’s communication abilities.展开更多
In order to overcome defects of the classical hidden Markov model (HMM), Markov family model (MFM), a new statistical model was proposed. Markov family model was applied to speech recognition and natural language proc...In order to overcome defects of the classical hidden Markov model (HMM), Markov family model (MFM), a new statistical model was proposed. Markov family model was applied to speech recognition and natural language processing. The speaker independently continuous speech recognition experiments and the part-of-speech tagging experiments show that Markov family model has higher performance than hidden Markov model. The precision is enhanced from 94.642% to 96.214% in the part-of-speech tagging experiments, and the work rate is reduced by 11.9% in the speech recognition experiments with respect to HMM baseline system.展开更多
Total laryngectomy affects the speaking functions of many patients.Speech deprivation has great impacts on the quality of life of patients,especially on self-efficacy.Learning esophageal speech represents a way to hel...Total laryngectomy affects the speaking functions of many patients.Speech deprivation has great impacts on the quality of life of patients,especially on self-efficacy.Learning esophageal speech represents a way to help laryngectomees speak again.The purpose of this study was to determine the influence of collective esophageal speech training on self-efficacy of laryngectomees.In this study,28 patients and 30 family members were included.The participants received information about training via telephone or a WeChat group.Collective esophageal speech training was used to educate laryngectomees on esophageal speech.Before and after collective esophageal speech training,all participants completed the General Self-Efficacy Scale(GSES)to assess their perceptions on self-efficacy.Through the training,laryngectomees recovered their speech.After the training,the self-efficacy scores of laryngectomees were higher than those before the training,with significant differences noted(P<0.05).However,family members'scores did not change significantly.In conclusion,collective esophageal speech training is not only convenient and economical,but also improves self-efficacy and confidence of laryngectomees.Greater self-efficacy is helpful for laryngectomees to master esophageal speech and improve their quality of life.In addition,more attention should be focused on improving the self-efficacy of family members and making them give full play to their talent and potential on laryngectomees'voice rehabilitation.展开更多
In the field of speech bandwidth exten-sion,it is difficult to achieve high speech quality based on the shallow statistical model method.Although the application of deep learning has greatly improved the extended spee...In the field of speech bandwidth exten-sion,it is difficult to achieve high speech quality based on the shallow statistical model method.Although the application of deep learning has greatly improved the extended speech quality,the high model complex-ity makes it infeasible to run on the client.In order to tackle these issues,this paper proposes an end-to-end speech bandwidth extension method based on a temporal convolutional neural network,which greatly reduces the complexity of the model.In addition,a new time-frequency loss function is designed to en-able narrowband speech to acquire a more accurate wideband mapping in the time domain and the fre-quency domain.The experimental results show that the reconstructed wideband speech generated by the proposed method is superior to the traditional heuris-tic rule based approaches and the conventional neu-ral network methods for both subjective and objective evaluation.展开更多
The hidden danger of the automatic speaker verification(ASV)system is various spoofed speeches.These threats can be classified into two categories,namely logical access(LA)and physical access(PA).To improve identifica...The hidden danger of the automatic speaker verification(ASV)system is various spoofed speeches.These threats can be classified into two categories,namely logical access(LA)and physical access(PA).To improve identification capability of spoofed speech detection,this paper considers the research on features.Firstly,following the idea of modifying the constant-Q-based features,this work considered adding variance or mean to the constant-Q-based cepstral domain to obtain good performance.Secondly,linear frequency cepstral coefficients(LFCCs)performed comparably with constant-Q-based features.Finally,we proposed linear frequency variance-based cepstral coefficients(LVCCs)and linear frequency mean-based cepstral coefficients(LMCCs)for identification of speech spoofing.LVCCs and LMCCs could be attained by adding the frame variance or the mean to the log magnitude spectrum based on LFCC features.The proposed novel features were evaluated on ASVspoof 2019 datase.The experimental results show that compared with known hand-crafted features,LVCCs and LMCCs are more effective in resisting spoofed speech attack.展开更多
University Inspirational Speech(UIS), as a significant part of American's higher education, is considered as an encouraging, convincing and motivating lesson to students. UIS might have a great effect on student&#...University Inspirational Speech(UIS), as a significant part of American's higher education, is considered as an encouraging, convincing and motivating lesson to students. UIS might have a great effect on student's outlook of life, helping them to grow as adults armed with noble ideals and entrepreneurial spirits. In order to convey the spirit of original speakers, it is crucial to choose a proper translation theory as a direction. Based on Skopos theory, the paper studied 2014 American UIS translation from the aspect of three rules of Skopos theory, presenting the application of the theory in translation process and to find out how the Skopos theory guides a translation process.展开更多
文摘Reporting is essential in language use,including the re-expression of other people’s or self’s words,opinions,psychological activities,etc.Grasping the translation methods of reported speech in German academic papers is very important to improve the accuracy of academic paper translation.This study takes the translation of“Internationalization of German Universities”(Die Internationalisierung der deutschen Hochschulen),an academic paper of higher education,as an example to explore the translation methods of reported speech in German academic papers.It is found that the use of word order conversion,part of speech conversion and split translation methods can make the translation more accurate and fluent.This paper helps to grasp the rules and characteristics of the translation of reported speech in German academic papers,and also provides a reference for improving the quality of German-Chinese translation.
文摘This paper is to present a typology of refusal strategies which may be employed in the analysis of refusal performance from a discourse approach.Some previous research carried out is reviewed in order to classify non-native speakers' production of this speech act.Then,the suggested taxonomy will be described in a systematized way from an interlanguage pragmatic perspective and within a conversational analysis framework.Finally,it is emphasized that effective communicative competence plays an important role in the production of this face-threatening speech act of refusing.
文摘Purpose:Our study aims to compare speech understanding in noise and spectral-temporal resolution skills with regard to the degree of hearing loss,age,hearing aid use experience and gender of hearing aid users.Methods:Our study included sixty-eight hearing aid users aged between 40-70 years,with bilateral mild and moderate symmetrical sensorineural hearing loss.Random gap detection test,Turkish matrix test and spectral-temporally modulated ripple test were implemented on the participants with bilateral hearing aids.The test results acquired were compared statistically according to different variables and the correlations were examined.Results:No statistically significant differences were observed for speech-in-noise recognition,spectraltemporal resolution among older and younger adults in hearing aid users(p>0.05).There wasn’t found a statistically significant difference among test outcomes as regards different hearing loss degrees(p>0.05).Higher performances were obtained in terms of temporal resolution in male participants and participants with more hearing aid use experience(p<0.05).Significant correlations were obtained between the results of speech-in-noise recognition,temporal resolution and spectral resolution tests performed with hearing aids(p<0.05).Conclusion:Our study findings emphasized the importance of regular hearing aid use and it showed that some auditory skills can be improved with hearing aids.Observation of correlations among the speechin-noise recognition,temporal resolution and spectral resolution tests have revealed that these skills should be evaluated as a whole to maximize the patient’s communication abilities.
基金Project(60763001)supported by the National Natural Science Foundation of ChinaProjects(2009GZS0027,2010GZS0072)supported by the Natural Science Foundation of Jiangxi Province,China
文摘In order to overcome defects of the classical hidden Markov model (HMM), Markov family model (MFM), a new statistical model was proposed. Markov family model was applied to speech recognition and natural language processing. The speaker independently continuous speech recognition experiments and the part-of-speech tagging experiments show that Markov family model has higher performance than hidden Markov model. The precision is enhanced from 94.642% to 96.214% in the part-of-speech tagging experiments, and the work rate is reduced by 11.9% in the speech recognition experiments with respect to HMM baseline system.
文摘Total laryngectomy affects the speaking functions of many patients.Speech deprivation has great impacts on the quality of life of patients,especially on self-efficacy.Learning esophageal speech represents a way to help laryngectomees speak again.The purpose of this study was to determine the influence of collective esophageal speech training on self-efficacy of laryngectomees.In this study,28 patients and 30 family members were included.The participants received information about training via telephone or a WeChat group.Collective esophageal speech training was used to educate laryngectomees on esophageal speech.Before and after collective esophageal speech training,all participants completed the General Self-Efficacy Scale(GSES)to assess their perceptions on self-efficacy.Through the training,laryngectomees recovered their speech.After the training,the self-efficacy scores of laryngectomees were higher than those before the training,with significant differences noted(P<0.05).However,family members'scores did not change significantly.In conclusion,collective esophageal speech training is not only convenient and economical,but also improves self-efficacy and confidence of laryngectomees.Greater self-efficacy is helpful for laryngectomees to master esophageal speech and improve their quality of life.In addition,more attention should be focused on improving the self-efficacy of family members and making them give full play to their talent and potential on laryngectomees'voice rehabilitation.
文摘In the field of speech bandwidth exten-sion,it is difficult to achieve high speech quality based on the shallow statistical model method.Although the application of deep learning has greatly improved the extended speech quality,the high model complex-ity makes it infeasible to run on the client.In order to tackle these issues,this paper proposes an end-to-end speech bandwidth extension method based on a temporal convolutional neural network,which greatly reduces the complexity of the model.In addition,a new time-frequency loss function is designed to en-able narrowband speech to acquire a more accurate wideband mapping in the time domain and the fre-quency domain.The experimental results show that the reconstructed wideband speech generated by the proposed method is superior to the traditional heuris-tic rule based approaches and the conventional neu-ral network methods for both subjective and objective evaluation.
基金National Natural Science Foundation of China(No.62001100)。
文摘The hidden danger of the automatic speaker verification(ASV)system is various spoofed speeches.These threats can be classified into two categories,namely logical access(LA)and physical access(PA).To improve identification capability of spoofed speech detection,this paper considers the research on features.Firstly,following the idea of modifying the constant-Q-based features,this work considered adding variance or mean to the constant-Q-based cepstral domain to obtain good performance.Secondly,linear frequency cepstral coefficients(LFCCs)performed comparably with constant-Q-based features.Finally,we proposed linear frequency variance-based cepstral coefficients(LVCCs)and linear frequency mean-based cepstral coefficients(LMCCs)for identification of speech spoofing.LVCCs and LMCCs could be attained by adding the frame variance or the mean to the log magnitude spectrum based on LFCC features.The proposed novel features were evaluated on ASVspoof 2019 datase.The experimental results show that compared with known hand-crafted features,LVCCs and LMCCs are more effective in resisting spoofed speech attack.
文摘University Inspirational Speech(UIS), as a significant part of American's higher education, is considered as an encouraging, convincing and motivating lesson to students. UIS might have a great effect on student's outlook of life, helping them to grow as adults armed with noble ideals and entrepreneurial spirits. In order to convey the spirit of original speakers, it is crucial to choose a proper translation theory as a direction. Based on Skopos theory, the paper studied 2014 American UIS translation from the aspect of three rules of Skopos theory, presenting the application of the theory in translation process and to find out how the Skopos theory guides a translation process.
