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20192024
most citedAcoustic Modeling for Automatic Lyrics-to-Audio Alignment

5 citations · 16 across the 12 of their papers we have counts for

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5 papers · 1 filter

eess.AS2022★ 1 cited

Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures

Chitralekha Gupta, Yize Wei, Zequn Gong +3

Standard evaluation metrics such as the Inception score and Fréchet Audio Distance provide a general audio quality distance metric between the synthesized audio and reference clean…

eess.AS2022

PoLyScriber: Integrated Fine-tuning of Extractor and Lyrics Transcriber for Polyphonic Music

Xiaoxue Gao, Chitralekha Gupta, Haizhou Li

Lyrics transcription of polyphonic music is challenging as the background music affects lyrics intelligibility. Typically, lyrics transcription can be performed by a two-step pipel…

cs.SD2022

Sound Model Factory: An Integrated System Architecture for Generative Audio Modelling

Lonce Wyse, Purnima Kamath, Chitralekha Gupta

We introduce a new system for data-driven audio sound model design built around two different neural network architectures, a Generative Adversarial Network(GAN) and a Recurrent Ne…

eess.AS2022

Music-robust Automatic Lyrics Transcription of Polyphonic Music

Xiaoxue Gao, Chitralekha Gupta, Haizhou Li

Lyrics transcription of polyphonic music is challenging because singing vocals are corrupted by the background music. To improve the robustness of lyrics transcription to the backg…

cs.SD2022

Genre-conditioned Acoustic Models for Automatic Lyrics Transcription of Polyphonic Music

Xiaoxue Gao, Chitralekha Gupta, Haizhou Li

Lyrics transcription of polyphonic music is challenging not only because the singing vocals are corrupted by the background music, but also because the background music and the sin…