Head Orientation Estimation with Distributed Microphones Using Speech Radiation Patterns

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Müller, Kaspar, Çakmak, Bilgesu, Didier, Paul, Doclo, Simon, Østergaard, Jan, Wolff, Tobias
Format: Preprint
Publié: 2023
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866911432422981632
author Müller, Kaspar
Çakmak, Bilgesu
Didier, Paul
Doclo, Simon
Østergaard, Jan
Wolff, Tobias
author_facet Müller, Kaspar
Çakmak, Bilgesu
Didier, Paul
Doclo, Simon
Østergaard, Jan
Wolff, Tobias
contents Determining the head orientation of a talker is not only beneficial for various speech signal processing applications, such as source localization or speech enhancement, but also facilitates intuitive voice control and interaction with smart environments or modern car assistants. Most approaches for head orientation estimation are based on visual cues. However, this requires camera systems which often are not available. We present an approach which purely uses audio signals captured with only a few distributed microphones around the talker. Specifically, we propose a novel method that directly incorporates measured or modeled speech radiation patterns to infer the talker's orientation during active speech periods based on a cosine similarity measure. Moreover, an automatic gain adjustment technique is proposed for uncalibrated, irregular microphone setups, such as ad-hoc sensor networks. In experiments with signals recorded in both anechoic and reverberant environments, the proposed method outperforms state-of-the-art approaches, using either measured or modeled speech radiation patterns.
format Preprint
id arxiv_https___arxiv_org_abs_2312_01808
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Head Orientation Estimation with Distributed Microphones Using Speech Radiation Patterns
Müller, Kaspar
Çakmak, Bilgesu
Didier, Paul
Doclo, Simon
Østergaard, Jan
Wolff, Tobias
Audio and Speech Processing
Sound
Determining the head orientation of a talker is not only beneficial for various speech signal processing applications, such as source localization or speech enhancement, but also facilitates intuitive voice control and interaction with smart environments or modern car assistants. Most approaches for head orientation estimation are based on visual cues. However, this requires camera systems which often are not available. We present an approach which purely uses audio signals captured with only a few distributed microphones around the talker. Specifically, we propose a novel method that directly incorporates measured or modeled speech radiation patterns to infer the talker's orientation during active speech periods based on a cosine similarity measure. Moreover, an automatic gain adjustment technique is proposed for uncalibrated, irregular microphone setups, such as ad-hoc sensor networks. In experiments with signals recorded in both anechoic and reverberant environments, the proposed method outperforms state-of-the-art approaches, using either measured or modeled speech radiation patterns.
title Head Orientation Estimation with Distributed Microphones Using Speech Radiation Patterns
topic Audio and Speech Processing
Sound
url https://arxiv.org/abs/2312.01808