Articles

Multiple-Description Multistage Vector Quantization

Multistage vector quantization (MSVQ) is a technique for low complexity implementation of high-dimensional quantizers, which has found applications within speech, audio, and image coding. In this paper, a mult...

Authors: Pradeepa Yahampath

The Effect of Listener Accent Background on Accent Perception and Comprehension

Variability of speaker accent is a challenge for effective human communication as well as speech technology including automatic speech recognition and accent identification. The motivation of this study is to ...

Authors: Ayako Ikeno and John HL Hansen

Denoising in the Domain of Spectrotemporal Modulations

A noise suppression algorithm is proposed based on filtering the spectrotemporal modulations of noisy signals. The modulations are estimated from a multiscale representation of the signal spectrogram generated...

Authors: Nima Mesgarani and Shihab Shamma

Voice-to-Phoneme Conversion Algorithms for Voice-Tag Applications in Embedded Platforms

We describe two voice-to-phoneme conversion algorithms for speaker-independent voice-tag creation specifically targeted at applications on embedded platforms. These algorithms (batch mode and sequential) are comp...

Authors: YanMing Cheng, Changxue Ma and Lynette Melnar

Perceptual Continuity and Naturalness of Expressive Strength in Singing Voices Based on Speech Morphing

This paper experimentally shows the importance of perceptual continuity of the expressive strength in vocal timbre for natural change in vocal expression. In order to synthesize various and continuous expressi...

Authors: Tomoko Yonezawa, Noriko Suzuki, Shinji Abe, Kenji Mase and Kiyoshi Kogure

Wideband Speech Recovery Using Psychoacoustic Criteria

Many modern speech bandwidth extension techniques predict the high-frequency band based on features extracted from the lower band. While this method works for certain types of speech, problems arise when the c...

Authors: Visar Berisha and Andreas Spanias

Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform

Wide band digital audio signals have a very high data-rate associated with them due to their complex nature and demand for high-quality reproduction. Although recent technological advancements have significant...

Authors: Karthikeyan Umapathy and Sridhar Krishnan

Linear Prediction Using Refined Autocorrelation Function

This paper proposes a new technique for improving the performance of linear prediction analysis by utilizing a refined version of the autocorrelation function. Problems in analyzing voiced speech using linear ...

Authors: M Shahidur Rahman and Tetsuya Shimamura

On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling

Recent research on the TIMIT corpus suggests that longer-length acoustic models are more appropriate for pronunciation variation modelling than the context-dependent phones that conventional automatic speech r...

Authors: Annika Hämäläinen, Lou Boves, Johan de Veth and Louis ten Bosch

Detection and Separation of Speech Events in Meeting Recordings Using a Microphone Array

When applying automatic speech recognition (ASR) to meeting recordings including spontaneous speech, the performance of ASR is greatly reduced by the overlap of speech events. In this paper, a method of separa...

Authors: Futoshi Asano, Kiyoshi Yamamoto, Jun Ogata, Miichi Yamada and Masami Nakamura

An FFT-Based Companding Front End for Noise-Robust Automatic Speech Recognition

We describe an FFT-based companding algorithm for preprocessing speech before recognition. The algorithm mimics tone-to-tone suppression and masking in the auditory system to improve automatic speech recogniti...

Authors: Bhiksha Raj, Lorenzo Turicchia, Bent Schmidt-Nielsen and Rahul Sarpeshkar

Multimicrophone Speech Dereverberation: Experimental Validation

Dereverberation is required in various speech processing applications such as handsfree telephony and voice-controlled systems, especially when signals are applied that are recorded in a moderately or highly r...

Authors: Koen Eneman and Marc Moonen

Detection-Guided Fast Affine Projection Channel Estimator for Speech Applications

In various adaptive estimation applications, such as acoustic echo cancellation within teleconferencing systems, the input signal is a highly correlated speech. This, in general, leads to extremely slow conver...

Authors: Yan Wu Jennifer, John Homer, Geert Rombouts and Marc Moonen

Adaptive Partial-Update and Sparse System Identification

Authors: Kutluyıl Doğançay and Patrick A Naylor

Time-Domain Convolutive Blind Source Separation Employing Selective-Tap Adaptive Algorithms

We investigate novel algorithms to improve the convergence and reduce the complexity of time-domain convolutive blind source separation (BSS) algorithms. First, we propose MMax partial update time-domain convo...

Authors: Qiongfeng Pan and Tyseer Aboulnasr

A Low Delay and Fast Converging Improved Proportionate Algorithm for Sparse System Identification

A sparse system identification algorithm for network echo cancellation is presented. This new approach exploits both the fast convergence of the improved proportionate normalized least mean square (IPNLMS) alg...

Authors: Andy W.H. Khong, Patrick A. Naylor and Jacob Benesty

Wavelet-Based MPNLMS Adaptive Algorithm for Network Echo Cancellation

The μ-law proportionate normalized least mean square (MPNLMS) algorithm has been proposed recently to solve the slow convergence problem of the proportionate normalized least mean square (PNLMS) algorithm afte...

Authors: Hongyang Deng and Miloš Doroslovački

Audio-Visual Speech Recognition Using Lip Information Extracted from Side-Face Images

This paper proposes an audio-visual speech recognition method using lip information extracted from side-face images as an attempt to increase noise robustness in mobile environments. Our proposed method assume...

Authors: Koji Iwano, Tomoaki Yoshinaga, Satoshi Tamura and Sadaoki Furui

Underdetermined Blind Audio Source Separation Using Modal Decomposition

This paper introduces new algorithms for the blind separation of audio sources using modal decomposition. Indeed, audio signals and, in particular, musical signals can be well approximated by a sum of damped s...

Authors: Abdeldjalil Aïssa-El-Bey, Karim Abed-Meraim and Yves Grenier

Efficient Multichannel NLMS Implementation for Acoustic Echo Cancellation

An acoustic echo cancellation structure with a single loudspeaker and multiple microphones is, from a system identification perspective, generally modelled as a single-input multiple-output system. Such a syst...

Authors: Fredric Lindstrom, Christian Schüldt and Ingvar Claesson

A Semi-Continuous State-Transition Probability HMM-Based Voice Activity Detector

We introduce an efficient hidden Markov model-based voice activity detection (VAD) algorithm with time-variant state-transition probabilities in the underlying Markov chain. The transition probabilities vary i...

Authors: H Othman and T Aboulnasr

Set-Membership Proportionate Affine Projection Algorithms

Proportionate adaptive filters can improve the convergence speed for the identification of sparse systems as compared to their conventional counterparts. In this paper, the idea of proportionate adaptation is ...

Authors: Stefan Werner, José A Apolinário Jr. and Paulo S R Diniz

Analysis of Transient and Steady-State Behavior of a Multichannel Filtered-x Partial-Error Affine Projection Algorithm

The paper provides an analysis of the transient and the steady-state behavior of a filtered-x partial-error affine projection algorithm suitable for multichannel active noise control. The analysis relies on energ...

Authors: Alberto Carini and Giovanni L Sicuranza

Significance of Joint Features Derived from the Modified Group Delay Function in Speech Processing

This paper investigates the significance of combining cepstral features derived from the modified group delay function and from the short-time spectral magnitude like the MFCC. The conventional group delay fun...

Authors: Rajesh M. Hegde, Hema A. Murthy and V. R. R. Gadde

Step Size Bound of the Sequential Partial Update LMS Algorithm with Periodic Input Signals

This paper derives an upper bound for the step size of the sequential partial update (PU) LMS adaptive algorithm when the input signal is a periodic reference consisting of several harmonics. The maximum step ...

Authors: Pedro Ramos, Roberto Torrubia, Ana López, Ana Salinas and Enrique Masgrau

A Maximum Likelihood Estimation of Vocal-Tract-Related Filter Characteristics for Single Channel Speech Separation

We present a new technique for separating two speech signals from a single recording. The proposed method bridges the gap between underdetermined blind source separation techniques and those techniques that model...

Authors: Mohammad H. Radfar, Richard M. Dansereau and Abolghasem Sayadiyan

Visual Contribution to Speech Perception: Measuring the Intelligibility of Animated Talking Heads

Animated agents are becoming increasingly frequent in research and applications in speech science. An important challenge is to evaluate the effectiveness of the agent in terms of the intelligibility of its vi...

Authors: Slim Ouni, Michael M Cohen, Hope Ishak and Dominic W Massaro

Speech/Nonspeech Detection Using Minimal Walsh Basis Functions

This paper presents a new method to detect speech/nonspeech components of a given noisy signal. Employing the combination of binary Walsh basis functions and an analysis-synthesis scheme, the original noisy sp...

Authors: Moe Pwint and Farook Sattar