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Why don't speech recognition systems understand African American English?

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Manage episode 427907498 series 2859015
Kandungan disediakan oleh ASA Publications' Office. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh ASA Publications' Office atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Most people have encountered speech recognition software in their day-to-day lives, whether through personal digital assistants, auto transcription, or other such modern marvels. As the technology advances, though, it still fails to understand speakers of African American English (AAE). In this episode, we talk to Michelle Cohn (Google Research and University of California Davis) and Zion Mengesha (Google Research and Stanford University) about their research into why these problems with speech recognition software seem to persist and what can be done to make sure more voices are understood by the technology.
Associated paper: Michelle Cohn, Zion Mengesha, Michal Lahav, and Courtney Heldreth. "African American English speakers’ pitch variation and rate adjustments for imagined technological and human addressees." JASA Express Letters 4, 047601 (2024). https://doi.org/10.1121/10.0025484.

Read more from JASA Express Letters.

Learn more about Acoustical Society of America Publications

Music: Min 2019 by minwbu from Pixabay.

  continue reading

68 episod

Artwork
iconKongsi
 
Manage episode 427907498 series 2859015
Kandungan disediakan oleh ASA Publications' Office. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh ASA Publications' Office atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Most people have encountered speech recognition software in their day-to-day lives, whether through personal digital assistants, auto transcription, or other such modern marvels. As the technology advances, though, it still fails to understand speakers of African American English (AAE). In this episode, we talk to Michelle Cohn (Google Research and University of California Davis) and Zion Mengesha (Google Research and Stanford University) about their research into why these problems with speech recognition software seem to persist and what can be done to make sure more voices are understood by the technology.
Associated paper: Michelle Cohn, Zion Mengesha, Michal Lahav, and Courtney Heldreth. "African American English speakers’ pitch variation and rate adjustments for imagined technological and human addressees." JASA Express Letters 4, 047601 (2024). https://doi.org/10.1121/10.0025484.

Read more from JASA Express Letters.

Learn more about Acoustical Society of America Publications

Music: Min 2019 by minwbu from Pixabay.

  continue reading

68 episod

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