Synthesis using speaker adaptation from speech recognition DB

This paper deals with the creation of multiple voices from a Hidden Markov Model based speech synthesis system (HTS). More than 150 Catalan synthetic voices were built using Hidden Markov Models (HMM) and speaker adaptation techniques. Training data for building a Speaker-Independent (SI) model were selected from both a general purpose speech synthesis database (FestCat;) and a database design ed for training Automatic Speech Recognition (ASR) systems (Catalan SpeeCon database). The SpeeCon database was also used to adapt the SI model to different speakers. Using an ASR designed database for TTS purposes provided many different amateur voices, with few minutes of recordings not performed in studio conditions. This paper shows how speaker adaptation techniques provide the right tools to generate multiple voices with very few adaptation data. A subjective evaluation was carried out to assess the intelligibility and naturalness of the generated voices as well as the similarity of the adapted voices to both the original speaker and the average voice from the SI model.Peer ReviewedPostprint (published version

Recent work on the FESTCAT database for speech synthesis

This paper presents our work around the FESTCAT project, whose main goal was the development of voices for the Festival suite in Catalan. In the first year, we produced the corpus and the speech data needed for build 10 voices using the Clunits (unit selection) and the HTS (Markov models) methods. The resulting voices are freely available on the web page of the project and included in Linkat, a Catalan distribution of Linux. More recently, we have updated the voices using new versions of HTS, other technology (Multisyn) and we have produced a child voice. Furthermore, we have performed a prosodic labeling and analysis of the database using the break index labels proposed in the ToBI system aimed to improve the intonation of the synthetic speech.Postprint (published version

Targeting of the CD80/86 proinflammatory axis as a therapeutic strategy to prevent severe COVID-19

Coronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Malalties inflamatòries; Identificació de l'objectiu; Infecció viralCoronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Enfermedades inflamatorias; Identificación del objetivo; Infección viralCoronavirus SARS-CoV-2; COVID-19; 2019-nCoV; Inflammatory diseases; Target identification; Viral infectionAn excessive immune response known as cytokine storm is the hallmark of severe COVID-19. The cause of this cytokine rampage is yet not known. Based on recent epidemiological evidence, we hypothesized that CD80/86 signaling is essential for this hyperinflammation, and that blocking this proinflammatory axis could be an effective therapeutic approach to protect against severe COVID-19. Here we provide exploratory evidence that abatacept, a drug that blocks CD80/86 co-stimulation, produces changes at the systemic level that are highly antagonistic of the proinflammatory processes elicited by COVID-19. Using RNA-seq from blood samples from a longitudinal cohort of n = 38 rheumatic patients treated with abatacept, we determined the immunological processes that are significantly regulated by this treatment. We then analyzed available blood RNA-seq from two COVID19 patient cohorts, a very early cohort from the epicenter of the pandemic in China (n = 3 COVID-19 cases and n = 3 controls), and a recent and larger cohort from the USA (n = 49 severe and n = 51 mild COVD-19 patients). We found a highly significant antagonism between SARS-CoV-2 infection and COVID-19 severity with the systemic response to abatacept. Analysis of previous single-cell RNA-seq data from bronchoalveolar lavage fluid from mild and severe COVID-19 patients and controls, reinforce the implication of the CD80/86 proinflammatory axis. Our functional results further support abatacept as a candidate therapeutic approach to prevent severe COVID-19.The PACTABA project was funded Bristol-Myers Squibb. We thank all participants from the PACTABA study for their collaboration. AJ and SM are supported by the DoCTIS project funded by the European Union’s H2020 programme (Grant #848028). This work was supported by funds from the Vall d’Hebron Hospital Research Institute and from IMIDomics S.L. We thank Dr Ariel Jaitovich (Albany Medical Centre, USA) for providing additional clinical data on the late COVID-19 cohort

Intravitreal Bevacizumab (Avastin) for Diabetic Retinopathy: The 2010 GLADAOF Lecture

This paper demonstrates multiple benefits of intravitreal bevacizumab (IVB) on diabetic retinopathy (DR) including diabetic macular edema (DME) and proliferative diabetic retinopathy (PDR) at 24 months of followup. This is a retrospective multicenter interventional comparative case series of intravitreal injections of 1.25 or 2.5 mg of bevacizumab for DME, PDR without tractional retinal detachment (TRD), and patients who experienced the development or progression of TRD after an intravitreal injection of 1.25 or 2.5 mg of bevacizumab before vitrectomy for the management of PDR. The results indicate that IVB injections may have a beneficial effect on macular thickness and visual acuity (VA) in diffuse DME. Therefore, in the future this new therapy could complement focal/grid laser photocoagulation in DME. In PDR, this new option could be an adjuvant agent to panretina photocoagulation so that more selective therapy may be applied. Finally, TRD in PDR may occur or progress after IVB used as an adjuvant to vitrectomy. Surgery should be performed 4 days after IVB. Most patients had poorly controlled diabetes mellitus associated with elevated HbA1c, insulin administration, PDR refractory to panretinal photocoagulation, and longer time between IVB and vitrectomy

Synthesis using speaker adaptation from speech recognition DB

This paper deals with the creation of multiple voices from a Hidden Markov Model based speech synthesis system (HTS). More than 150 Catalan synthetic voices were built using Hidden Markov Models (HMM) and speaker adaptation techniques. Training data for building a Speaker-Independent (SI) model were selected from both a general purpose speech synthesis database (FestCat;) and a database design ed for training Automatic Speech Recognition (ASR) systems (Catalan SpeeCon database). The SpeeCon database was also used to adapt the SI model to different speakers. Using an ASR designed database for TTS purposes provided many different amateur voices, with few minutes of recordings not performed in studio conditions. This paper shows how speaker adaptation techniques provide the right tools to generate multiple voices with very few adaptation data. A subjective evaluation was carried out to assess the intelligibility and naturalness of the generated voices as well as the similarity of the adapted voices to both the original speaker and the average voice from the SI model.Peer Reviewe

Recent work on the FESTCAT database for speech synthesis

This paper presents our work around the FESTCAT project, whose main goal was the development of voices for the Festival suite in Catalan. In the first year, we produced the corpus and the speech data needed for build 10 voices using the Clunits (unit selection) and the HTS (Markov models) methods. The resulting voices are freely available on the web page of the project and included in Linkat, a Catalan distribution of Linux. More recently, we have updated the voices using new versions of HTS, other technology (Multisyn) and we have produced a child voice. Furthermore, we have performed a prosodic labeling and analysis of the database using the break index labels proposed in the ToBI system aimed to improve the intonation of the synthetic speech

Recent work on the FESTCAT database for speech synthesis

This paper presents our work around the FESTCAT project, whose main goal was the development of voices for the Festival suite in Catalan. In the first year, we produced the corpus and the speech data needed for build 10 voices using the Clunits (unit selection) and the HTS (Markov models) methods. The resulting voices are freely available on the web page of the project and included in Linkat, a Catalan distribution of Linux. More recently, we have updated the voices using new versions of HTS, other technology (Multisyn) and we have produced a child voice. Furthermore, we have performed a prosodic labeling and analysis of the database using the break index labels proposed in the ToBI system aimed to improve the intonation of the synthetic speech

Primary Intravitreal Bevacizumab for Diffuse Diabetic Macular Edema. The Pan-American Collaborative Retina Study Group at 24 Months

Purpose: To report the 24-month anatomic and Early Treatment Diabetic Retinopathy Study (ETDRS) best-corrected visual acuity (BCVA) response after primary intravitreal bevacizumab (Avastin; Genentech, Inc., San Francisco, CA; 1.25 or 2.5 mg) in patients with diffuse diabetic macular edema (DDME). In addition, a comparison of the 2 different doses of intravitreal bevacizumab (IVB) used is presented. Design: Retrospective, multicenter, interventional, comparative case series. Participants: The clinical records of 115 consecutive patients (139 eyes) with DDME at 11 centers from 8 countries were reviewed. Methods: Patients were treated with at least 1 intravitreal injection of 1.25 or 2.5 mg of bevacizumab. All patients were followed up for 24 months. Patients underwent ETDRS BCVA testing, ophthalmoscopic examination, optical coherence tomography (OCT), and fluorescein angiography (FA) at the baseline, 1-, 3-, 6-, 12-, and 24-month visits. Main Outcome Measures: Changes in BCVA and OCT results. Results: The mean age of the patients was 59.4±11.1 years. The mean number of IVB injections per eye was 5.8 (range, 1-15 injections). In the 1.25-mg group at 1 month, BCVA improved from 20/150 (0.88 logarithm of the minimum angle of resolution [logMAR] units) to 20/107, 0.76 logMAR units (P less than 0.0001). The mean BCVA at 24 months was 20/75 (0.57 logMAR units; P less than 0.0001). Similar BCVA changes were observed in the 2.5-mg group: at 1 month, BCVA improved from 20/168 (0.92 logMAR units) to 20/118 (0.78 logMAR units; P = 0.02). The mean BCVA at 24 months was 20/114 (0.76 logMAR units; P less than 0.0001). In the 1.25-mg group, the mean central macular thickness (CMT) decreased from 466.5±145.2 ?m at baseline to 332.2±129.6 ?m at 1 month and 286.6±81.5 ?m at 24 months (P less than 0.0001). Similar results were obtained in the 2.5-mg group. Conclusions: Primary IVB at doses of 1.25 to 2.5 mg seem to provide stability or improvement in BCVA, OCT, and FA in DDME at 24 months. The results show no evident difference between IVB at doses of 1.25 or 2.5 mg. Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article. © 2009 American Academy of Ophthalmology

Primary Intravitreal Bevacizumab for Diffuse Diabetic Macular Edema. The Pan-American Collaborative Retina Study Group at 24 Months

Purpose: To report the 24-month anatomic and Early Treatment Diabetic Retinopathy Study (ETDRS) best-corrected visual acuity (BCVA) response after primary intravitreal bevacizumab (Avastin; Genentech, Inc., San Francisco, CA; 1.25 or 2.5 mg) in patients with diffuse diabetic macular edema (DDME). In addition, a comparison of the 2 different doses of intravitreal bevacizumab (IVB) used is presented. Design: Retrospective, multicenter, interventional, comparative case series. Participants: The clinical records of 115 consecutive patients (139 eyes) with DDME at 11 centers from 8 countries were reviewed. Methods: Patients were treated with at least 1 intravitreal injection of 1.25 or 2.5 mg of bevacizumab. All patients were followed up for 24 months. Patients underwent ETDRS BCVA testing, ophthalmoscopic examination, optical coherence tomography (OCT), and fluorescein angiography (FA) at the baseline, 1-, 3-, 6-, 12-, and 24-month visits. Main Outcome Measures: Changes in BCVA and OCT results. Results: The mean age of the patients was 59.4±11.1 years. The mean number of IVB injections per eye was 5.8 (range, 1-15 injections). In the 1.25-mg group at 1 month, BCVA improved from 20/150 (0.88 logarithm of the minimum angle of resolution [logMAR] units) to 20/107, 0.76 logMAR units (P less than 0.0001). The mean BCVA at 24 months was 20/75 (0.57 logMAR units; P less than 0.0001). Similar BCVA changes were observed in the 2.5-mg group: at 1 month, BCVA improved from 20/168 (0.92 logMAR units) to 20/118 (0.78 logMAR units; P = 0.02). The mean BCVA at 24 months was 20/114 (0.76 logMAR units; P less than 0.0001). In the 1.25-mg group, the mean central macular thickness (CMT) decreased from 466.5±145.2 ?m at baseline to 332.2±129.6 ?m at 1 month and 286.6±81.5 ?m at 24 months (P less than 0.0001). Similar results were obtained in the 2.5-mg group. Conclusions: Primary IVB at doses of 1.25 to 2.5 mg seem to provide stability or improvement in BCVA, OCT, and FA in DDME at 24 months. The results show no evident difference between IVB at doses of 1.25 or 2.5 mg. Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article. © 2009 American Academy of Ophthalmology