Search Results for author: Matthew Maciejewski

Found 5 papers, 1 papers with code

On Speaker Attribution with SURT

1 code implementation28 Jan 2024 Desh Raj, Matthew Wiesner, Matthew Maciejewski, Leibny Paola Garcia-Perera, Daniel Povey, Sanjeev Khudanpur

The Streaming Unmixing and Recognition Transducer (SURT) has recently become a popular framework for continuous, streaming, multi-talker speech recognition (ASR).

speech-recognition Speech Recognition

WHAMR!: Noisy and Reverberant Single-Channel Speech Separation

no code implementations22 Oct 2019 Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux

While significant advances have been made with respect to the separation of overlapping speech signals, studies have been largely constrained to mixtures of clean, near anechoic speech, not representative of many real-world scenarios.

Sound Audio and Speech Processing

Building Corpora for Single-Channel Speech Separation Across Multiple Domains

no code implementations6 Nov 2018 Matthew Maciejewski, Gregory Sell, Leibny Paola Garcia-Perera, Shinji Watanabe, Sanjeev Khudanpur

To date, the bulk of research on single-channel speech separation has been conducted using clean, near-field, read speech, which is not representative of many modern applications.

Speech Separation

New release of Mixer-6: Improved validity for phonetic study of speaker variation and identification

no code implementations LREC 2016 Eleanor Chodroff, Matthew Maciejewski, Jan Trmal, Sanjeev Khudanpur, John Godfrey

The Mixer series of speech corpora were collected over several years, principally to support annual NIST evaluations of speaker recognition (SR) technologies.

Speaker Recognition

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