Articles

A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation

We present an efficient algorithm for segmentation of audio signals into speech or music. The central motivation to our study is consumer audio applications, where various real-time enhancements are often appl...

Authors: Yizhar Lavner and Dima Ruinskiy

Integrated Phoneme Subspace Method for Speech Feature Extraction

Speech feature extraction has been a key focus in robust speech recognition research. In this work, we discuss data-driven linear feature transformations applied to feature vectors in the logarithmic mel-frequ...

Authors: Hyunsin Park, Tetsuya Takiguchi and Yasuo Ariki

Analysis of Damped Mass-Spring Systems for Sound Synthesis

There are many ways of synthesizing sound on a computer. The method that we consider, called a mass-spring system, synthesizes sound by simulating the vibrations of a network of interconnected masses, springs, an...

Authors: Don Morgan and Sanzheng Qiao

An Overview of the Coding Standard MPEG-4 Audio Amendments 1 and 2: HE-AAC, SSC, and HE-AAC v2

In 2003 and 2004, the ISO/IEC MPEG standardization committee added two amendments to their MPEG-4 audio coding standard. These amendments concern parametric coding techniques and encompass Spectral Band Replic...

Authors: AC den Brinker, J Breebaart, P Ekstrand, J Engdegård, F Henn, K Kjörling, W Oomen and H Purnhagen

Recognition of Noisy Speech: A Comparative Survey of Robust Model Architecture and Feature Enhancement

Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise inside a car. In contrast to existing works, we aim to improve noise robustness focusing ...

Authors: Björn Schuller, Martin Wöllmer, Tobias Moosmayr and Gerhard Rigoll

Analytical Features: A Knowledge-Based Approach to Audio Feature Generation

We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation studies is the notion of analytical features (AFs), a cons...

Authors: François Pachet and Pierre Roy

Comparison of Linear Prediction Models for Audio Signals

While linear prediction (LP) has become immensely popular in speech modeling, it does not seem to provide a good approach for modeling audio signals. This is somewhat surprising, since a tonal signal consistin...

Authors: Toon van Waterschoot and Marc Moonen

Language Model Adaptation Using Machine-Translated Text for Resource-Deficient Languages

Text corpus size is an important issue when building a language model (LM). This is a particularly important issue for languages where little data is available. This paper introduces an LM adaptation technique...

Authors: ArnarThor Jensson, Koji Iwano and Sadaoki Furui

Using SVM as Back-End Classifier for Language Identification

Robust automatic language identification (LID) is a task of identifying the language from a short utterance spoken by an unknown speaker. One of the mainstream approaches named parallel phone recognition langu...

Authors: Hongbin Suo, Ming Li, Ping Lu and Yonghong Yan

Intelligent Audio, Speech, and Music Processing Applications

Authors: WoonS Gan, SenM Kuo and JohnHL Hansen

Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure

This paper investigates the problem of speaker recognition in noisy conditions. A new approach called nonnegative tensor principal component analysis (NTPCA) with sparse constraint is proposed for speech featu...

Authors: Qiang Wu and Liqing Zhang

Beamforming under Quantization Errors in Wireless Binaural Hearing Aids

Improving the intelligibility of speech in different environments is one of the main objectives of hearing aid signal processing algorithms. Hearing aids typically employ beamforming techniques using multiple ...

Authors: Sriram Srinivasan, Ashish Pandharipande and Kees Janse

Online Personalization of Hearing Instruments

Online personalization of hearing instruments refers to learning preferred tuning parameter values from user feedback through a control wheel (or remote control), during normal operation of the hearing aid. We...

Authors: Alexander Ypma, Job Geurts, Serkan Özer, Erik van der Werf and Bert de Vries

Towards an Intelligent Acoustic Front End for Automatic Speech Recognition: Built-in Speaker Normalization

A proven method for achieving effective automatic speech recognition (ASR) due to speaker differences is to perform acoustic feature speaker normalization. More effective speaker normalization methods are needed ...

Authors: Umit H. Yapanel and John H.L. Hansen

Real-Time Perceptual Simulation of Moving Sources: Application to the Leslie Cabinet and 3D Sound Immersion

Perception of moving sound sources obeys different brain processes from those mediating the localization of static sound events. In view of these specificities, a preprocessing model was designed, based on the...

Authors: R Kronland-Martinet and T Voinier

Automatic Music Boundary Detection Using Short Segmental Acoustic Similarity in a Music Piece

The present paper proposes a new approach for detecting music boundaries, such as the boundary between music pieces or the boundary between a music piece and a speech section for automatic segmentation of musi...

Authors: Yoshiaki Itoh, Akira Iwabuchi, Kazunori Kojima, Masaaki Ishigame, Kazuyo Tanaka and Shi-Wook Lee

Quality Enhancement of Compressed Audio Based on Statistical Conversion

Most audio compression formats are based on the idea of low bit rate transparent encoding. As these types of audio signals are starting to migrate from portable players with inexpensive headphones to higher qu...

Authors: Demetrios Cantzos, Athanasios Mouchtaris and Chris Kyriakakis

Fast Noise Compensation and Adaptive Enhancement for Speech Separation

We propose a novel approach to improve adaptive decorrelation filtering- (ADF-) based speech source separation in diffuse noise. The effects of noise on system adaptation and separation outputs are handled sep...

Authors: Rong Hu and Yunxin Zhao

On a Method for Improving Impulsive Sounds Localization in Hearing Defenders

This paper proposes a new algorithm for a directional aid with hearing defenders. Users of existing hearing defenders experience distorted information, or in worst cases, directional information may not be per...

Authors: Benny Sällberg, Farook Sattar and Ingvar Claesson

Frequency-Domain Adaptive Algorithm for Network Echo Cancellation in VoIP

We propose a new low complexity, low delay, and fast converging frequency-domain adaptive algorithm for network echo cancellation in VoIP exploiting MMax and sparse partial (SP) tap-selection criteria in the f...

Authors: Xiang(Shawn) Lin, Andy W.H. Khong, Milŏs Doroslovăcki and Patrick A. Naylor

Estimation of Interchannel Time Difference in Frequency Subbands Based on Nonuniform Discrete Fourier Transform

Binaural cue coding (BCC) is an efficient technique for spatial audio rendering by using the side information such as interchannel level difference (ICLD), interchannel time difference (ICTD), and interchannel...

Authors: Bo Qiu, Yong Xu, Yadong Lu and Jun Yang

Measurement Combination for Acoustic Source Localization in a Room Environment

The behavior of time delay estimation (TDE) is well understood and therefore attractive to apply in acoustic source localization (ASL). A time delay between microphones maps into a hyperbola. Furthermore, the ...

Authors: Pasi Pertilä, Teemu Korhonen and Ari Visa

Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection

Rhythmic information plays an important role in Music Information Retrieval. Example applications include automatically annotating large databases by genre, meter, ballroom dance style or tempo, fully automate...

Authors: Björn Schuller, Florian Eyben and Gerhard Rigoll

Phasor Representation for Narrowband Active Noise Control Systems

The phasor representation is introduced to identify the characteristic of the active noise control (ANC) systems. The conventional representation, transfer function, cannot explain the fact that the performanc...

Authors: Fu-Kun Chen, Ding-Horng Chen and Yue-Dar Jou

Multiresolution Source/Filter Model for Low Bitrate Coding of Spot Microphone Signals

A multiresolution source/filter model for coding of audio source signals (spot recordings) is proposed. Spot recordings are a subset of the multimicrophone recordings of a music performance, before the mixing ...

Authors: Athanasios Mouchtaris, Kiki Karadimou and Panagiotis Tsakalides

Experiments on Automatic Recognition of Nonnative Arabic Speech

The automatic recognition of foreign-accented Arabic speech is a challenging task since it involves a large number of nonnative accents. As well, the nonnative speech data available for training are generally ...

Authors: YousefAjami Alotaibi, Sid-Ahmed Selouani and Douglas O'Shaughnessy

Practical Gammatone-Like Filters for Auditory Processing

This paper deals with continuous-time filter transfer functions that resemble tuning curves at particular set of places on the basilar membrane of the biological cochlea and that are suitable for practical VLS...

Authors: AG Katsiamis, EM Drakakis and RF Lyon

Perceptual Models for Speech, Audio, and Music Processing

Authors: Jont B Allen, Wai-Yip Geoffrey Chan and Stephen Voran

Electrophysiological Study of Algorithmically Processed Metric/Rhythmic Variations in Language and Music

This work is the result of an interdisciplinary collaboration between scientists from the fields of audio signal processing, phonetics and cognitive neuroscience aiming at studying the perception of modificati...

Authors: Sølvi Ystad, Cyrille Magne, Snorre Farner, Gregory Pallone, Mitsuko Aramaki, Mireille Besson and Richard Kronland-Martinet

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