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Sravana Reddy

Datos Biográficos

ID4054987
NOMBRESravana Reddy
NOMBRESSravana
APELLIDOReddy
FIRMAREDDY S
AFILIACIONESDartmouth Hospital
ORCID0000-0001-7157-7091
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS6
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2015
AÑO MÁS RECIENTE DE PUBLICACIÓN2019
ÍNDICE H1
  • Bring on the Crowd! Using Online Audio Crowd-Sourcing for Large-Scale New England Dialectology and Acoustic Sociophonetics

    Chaeyoon Kim, Sravana Reddy et al.•ARTICLE•American Speech•2019•Citada por: 6•Referencias: 37

    This study aims to (1) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (2) test the effectiveness of large-scale audio crowdsourcing by using Amazon Mechanical Turk to collect sociophonetic data. Using recordings from 626 speakers across the region, this is the largest acoustic sociophonetic study ever conducted in New England. Although face-to-face fieldwork will alway…

  • Assessing and addressing algorithmic bias in practice

    Open Access•Henriette Cramer, Jean Garcia-Gathright et al.•ARTICLE•interactions•2018

    column Share on Assessing and addressing algorithmic bias in practice Authors: Henriette Cramer Spotify SpotifyView Profile , Jean Garcia-Gathright Spotify SpotifyView Profile , Aaron Springer Spotify SpotifyView Profile , Sravana Reddy Spotify SpotifyView Profile Authors Info & Claims InteractionsVolume 25Issue 6November - December 2018 pp 58–63https://doi.org/10.1145/3278156Published:25 October 2018Publication History 19citation3,565DownloadsMe…

  • Toward completely automated vowel extraction

    Open Access•Sravana Reddy, James N Stanford•ARTICLE•Linguistics Vanguard•2015

    Automatic Speech Recognition (ASR) is reaching further and further into everyday life with Apple’s Siri, Google voice search, automated telephone information systems, dictation devices, closed captioning, and other applications. Along with such advances in speech technology, sociolinguists have been considering new methods for alignment and vowel formant extraction, including techniques like the Penn Aligner (Yuan and Liberman 2008) and the FAVE …

  • Bring on the Crowd! Using Online Audio Crowd-Sourcing for Large-Scale New England Dialectology and Acoustic Sociophonetics

    Chaeyoon Kim, Sravana Reddy et al.•ARTICLE•American Speech•2019•Citada por: 6•Referencias: 37

    This study aims to (1) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (2) test the effectiveness of large-scale audio crowdsourcing by using Amazon Mechanical Turk to collect sociophonetic data. Using recordings from 626 speakers across the region, this is the largest acoustic sociophonetic study ever conducted in New England. Although face-to-face fieldwork will alway…

  • Toward completely automated vowel extraction

    Open Access•Sravana Reddy, James N Stanford•ARTICLE•Linguistics Vanguard•2015

    Automatic Speech Recognition (ASR) is reaching further and further into everyday life with Apple’s Siri, Google voice search, automated telephone information systems, dictation devices, closed captioning, and other applications. Along with such advances in speech technology, sociolinguists have been considering new methods for alignment and vowel formant extraction, including techniques like the Penn Aligner (Yuan and Liberman 2008) and the FAVE …

  • Assessing and addressing algorithmic bias in practice

    Open Access•Henriette Cramer, Jean Garcia-Gathright et al.•ARTICLE•interactions•2018

    column Share on Assessing and addressing algorithmic bias in practice Authors: Henriette Cramer Spotify SpotifyView Profile , Jean Garcia-Gathright Spotify SpotifyView Profile , Aaron Springer Spotify SpotifyView Profile , Sravana Reddy Spotify SpotifyView Profile Authors Info & Claims InteractionsVolume 25Issue 6November - December 2018 pp 58–63https://doi.org/10.1145/3278156Published:25 October 2018Publication History 19citation3,565DownloadsMe…

  • Bring on the Crowd! Using Online Audio Crowd-Sourcing for Large-Scale New England Dialectology and Acoustic Sociophonetics

    Chaeyoon Kim, Sravana Reddy et al.•ARTICLE•American Speech•2019•Citada por: 6•Referencias: 37

    This study aims to (1) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (2) test the effectiveness of large-scale audio crowdsourcing by using Amazon Mechanical Turk to collect sociophonetic data. Using recordings from 626 speakers across the region, this is the largest acoustic sociophonetic study ever conducted in New England. Although face-to-face fieldwork will alway…

Computer Science (3 obras) · Phonetics and Phonology Research (2 obras) · World Wide Web (2 obras) · Artificial Intelligence (1 obras) · Blockchain Technology Applications and Security (1 obras) · Cartography (1 obras) · Citation (1 obras) · Closed captioning (1 obras) · Column (typography (1 obras) · Crowd sourcing (1 obras)

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