Posts Tagged Speech-language pathologist

Virtual Live LSVT LOUD Training and Certification Course

Join us for our Virtual Live LSVT LOUD Training and Certification Course this May!

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Athens, Greece – LSVT LOUD Training and Certification

LSVT LOUD is coming to Athens, Greece! Read on to find out all the details.

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Get the LSVT Companion – a speech therapy data collection option. Now available for all ages!

The LSVT Companion is a one of a kind device for LSVT LOUD treatment. It consists of a software program paired with an external calibrated microphone that offers valid and reliable acoustic measurement of sound pressure level (SPL), frequency and duration. The data collection is specifically tailored to the LSVT LOUD protocol and offers automated data averaging for fast and efficient summary treatment results.

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Virtual Live LSVT LOUD Training and Certification Course

Join us for our Virtual Live LSVT LOUD Training and Certification Course this January!

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Virtual Live LSVT LOUD Training and Certification Course – French

Join us for our Virtual Live LSVT LOUD Training and Certification Course – French this December!

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New York City, NY – LSVT LOUD Training and Certification: Transferred to Virtual Live

LSVT LOUD is coming to New York City, New York! Read on to find out all the details.

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Virtual Live LSVT LOUD Training and Certification Course

Join us for our Virtual Live LSVT LOUD Training and Certification Course this December!

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LSVT LOUD® y LSVT BIG®: terapia del habla, física y ocupacional basada en evidencia para la enfermedad de Parkinson

Join our LSVT LOUD faculty to learn more about LSVT LOUD (in Japanese).

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LSVT LOUD® 発話療法 パーキンソン病の人々が自らの声を周囲に伝え、 よりよい人生を生きる支えとなる

Join our LSVT LOUD faculty to learn more about LSVT LOUD (in Japanese).

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Building a database for automatic speech recognition in Parkinson’s disease

Disordered speech and voice may limit access to everyday voice activated devices (e.g., mobile phones, computers). These devices have automatic speech recognition (ASR) systems that have been trained on non-disordered speech. This makes it frustrating for individuals with speech disorders such as those accompanying Amyotropic lateral sclerosis (ALS), Down Syndrome and Parkinson’s disease (PD) to utilize these devices. Project Euphonia is an initiative by Google to make speech technology more accessible to individuals with non-standard speech. The first step in this process is to gather large numbers of speech samples from disordered speakers in order to train speech recognition systems. This paper reports initial work to collect speech data from individuals with PD to contribute to this project. 

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