Speaker|Independent Acoustic|to|Articulatory Inversion through ...

zhengjunyue/speech-inversion-dnn: Acoustic to Articulatory ... - GitHub

2016. “Vocal Tract Length Normalization for Speaker Independent Acoustic-to-Articulatory Speech Inversion.” Pp. 455–59 in Proceedings of the Annual Conference ...

Acoustic-articulatory relationships and inversion in sum-product and ...

Acoustic-articulatory relationships and inversion in sum-product and deep-belief networks ; Journal: Speech Communication, 2016, p. 61-73 ; Publisher: Elsevier BV.

Silent Speech Interface: An Inversion Problem - IOPscience

Acoustic-to-articulatory inversion (AAI) is a technique for determining articulatory parameters using acoustic input. Automatic voice recognition, text-to- ...

A generalized smoothness criterion for acoustic-to-articulatory ...

Accuracy of inversion in terms of RMS error E and correlation ␳ 共Female speaker兲. Articulators. Range. 共mm兲. Mean 共SD兲 of E 共mm兲 and ␳. Generalized ...

TOWARDS ARTICULATORY-BASED MODIFICATION OF SPEECH

non-native speaker, EMA interfering with speech production). The results presented here were obtained using a speaker dependent articulatory inversion model.

joint modeling of articulatory and acoustic spaces for continuous

Speaker variation adds complexity to the problem and makes speech-inversion even harder [12][13]. In this paper, we explore using CNNs and DNNs for acoustic to.

Acoustic-to-Articulatory Mapping With Joint Optimization of Deep ...

We investigate the problem of speaker independent acoustic-to-articulatory inversion (AAI) in noisy conditions within the deep neural network (DNN) framework.

University of Groningen Exploring Self-Supervised Speech ...

Narayanan, “A subject-independent acoustic-to-articulatory inversion,” in 2011 IEEE Interna- tional Conference on Acoustics, Speech and Signal Processing. ( ...

Noise Robust Acoustic to Articulatory Speech Inversion - OpenReview

In previous work, we have shown that using articulatory ... noise robust multi-speaker acoustic to articulatory speech inversion system.

Improved subject-independent acoustic-to-articulatory inversion

The training corpus in subject-independent inversion (SII) is formed with acoustic and articulatory kinematics data and the acoustic mismatch ...

On The Performance of EMA-Synchronized Speech and Stand ...

Wang, J., Liu, J., Li, X., 2023. Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion. in ICASSP2023. 1-5.

Step Response: Does It Really Matter?

... acoustic phase error) cannot hurt. In my admittedly anecdotal experience, a speaker that is time-coherent (on the listening axis) does have ...

Temporal Convolution Network Based Joint Optimization of Acoustic ...

Acoustic-to-articulatory inversion (AAI), also known as speech inversion, has been extensively researched in the past years. AAI is a process to find the ...

Automatic speech recognition using articulatory features from ...

articulatory features estimated through subject-independent inversion for speech recog- nition. The experiments are performed using parallel ...

Building an acoustic guitar patch…. | Fractal Audio Systems Forum

By the way, the FM3 can do both notch filters and phase inversion. ... I finally did this and my plugged in acoustic sound has never been better.

Deep Autoregressive Model for Acoustic-to-Articulatory Inversion

Acoustic-to-Articulatory Inversion is a challenging problem due to the complexity of articulation patterns and significant inter-speaker ...

Speaker conditioned acoustic to articulatory inversion using x vectors.

IS2020 - Speaker conditioned acoustic to articulatory inversion using x vectors. 202 views · 3 years ago ...more ...

A study of acoustic-to-articulatory inversion of speech by analysis-by ...

For analysis-by-synthesis to be able to recover accurate vocal tract shapes for a given speaker, the Maeda articulatory model first needs to be ...

Acoustic-to-Articulatory Mapping With Joint Optimization of Deep ...

Index Terms—Deep neural network, acoustic-to-articulatory inversion, speech enhancement, multi-task training, speaker independent models. I. INTRODUCTION. THE ...

Espy-Wilson, Sivaraman research aims to improve speech inversion

Normalizing these differences is essential to effectively using multi-speaker articulatory data for training a speaker-independent speech ...