Karpov, Evgeny

English

UEF Electronic Publications

202 050 Recommendation: Speech processing, Transmission and Quality aspects (STQ);Distributed speech recognition; Advanced front-end feature extraction algorithm; Compression algorithms,

50 years of progress in speech and speaker recognition”,

A new vector quantization clustering algorithm”,

A silence compression scheme for G.729 optimized for terminals conforming to recommendation V.70.

A study of computation speed-ups of the GMM-UBM speaker recognition system,” in

A tutorial on text-independent 50 speaker verification”,

A vector quantization approach to speaker recognition”,

An Adaptive and Fast Speech Detection Algorithm”,

An algorithm for vector quantizer design”,

An efficient scoring algorithm for gaussian mixture model based speaker identification,”

An i-vector Extractor Suitable for Speaker Recognition with both Microphone and Telephone Speech”,

An overview of automatic speaker recognition technology,” in

An Overview of TextIndependent Speaker Recognition: from Features to Supervectors”,

An overview of the CAVE project research activities in speaker verification”,

Analysis of feature extraction and channel compensation in a GMM speaker recognition system”,

Android speech input SDK: http://developer.android.com/resources/articles/spee ch-input.html, accessed on 19

Ángel de la Torre and Antonio Rubio, “Efficient voice activity detection algorithms using long-term speech information”, Speech Communication, Volume 42, Issues 3-4,

Automatic speaker recognition based on pitch contours”.

Bayometric voice authentication solutions: http://www.bayometric.com/products/biometricvoice-authentication.htm, accessed on 19

Bonastre &quot;A Straightforward and Efficient Implementation of the Factor Analysis Model for Speaker Verification&quot;, in

Cepstral analysis technique for automatic speaker verification”,

Cepstral domain segmental feature vector normalization for noise robust speech recognition”.

Channel robust speaker verification via feature mapping”,

Comparative evaluation of f0 estimation algorithms”.

Comparison of clustering methods: a case study of text-independent speaker modeling&quot;,

Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences”.

Comparison of the impact of some Minkowski metrics on VQ/GMM based speaker recognition”,

Computer Architecture: A Quantitative Approach.

Content-based image indexing”,

Data structures and algorithms for nearest neighbor search in general metric spaces”,

Digital Speech: Coding for Low Bit Rate Communication Systems,

Dragon dictation for Applie iPhone: http://www.nuancemobilelife.com/apple/dictation.ht ml, accessed on 19

Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification”.

Efficient acoustic parameters for speaker recognition”.

Efficient text-independent speaker verification with structural gaussian mixture models and neural network,”

Experimental evaluation of features for robust speaker identification”,

Explicit modeling of session variability for speaker verification”,

Fast speaker verification on mobile phone data using boosted slice classifiers”, in

Feature warping for robust speaker verification”,

Feng Y.: “Vector quantization of images based upon the Kohonen self-organization feature maps”,

Front-End Factor Analysis for Speaker Verification”

Gaussian selection applied to text-independent speaker verification,” in Proc. Speaker Odyssey: The Speaker Recognition Workshop (Odyssey

Generalized linear discriminant sequence kernels for speaker recognition»,

Hierarchical gaussian mixture model for speaker verification,” in

Hierarchical speaker identification using speaker clustering,” in

Joint Factor Analysis Versus Eigenchannels in Speaker Recognition”.

Linear prediction: A tutorial review”.

Long-Term F0 Modeling for Text-Independent Speaker Recognition”,

Loquendo identity verification solutions: http://www.loquendo.com/en/products/speakerverification/, accessed on 19

Modeling prosodic feature sequences for speaker recognition”,

Noise-robust speaker verification using f0 features”.

Nuance verifier voice authentication solution: http://www.nuance.com/ucmprod/groups/enterprise /@web/@enus/documents/collateral/nd_006284.pdf, accessed on 19

On a Practical Design of a Low Complexity Speech Recognition Engine”,

On the generalised distance in statistics&quot;.

On the splitting method for vector quantization codebook generation”,

Pattern Recognition and Machine Learning.

Perceptual linear predictive (PLP) analysis of speech”.

Phonetic speaker recognition with support vector machines”.

Pitch Determination of Speech Signals.

Principles of Voice Production.

Randomized local search algorithm for the clustering problem&quot;,

RASTA processing of speech”,

Real Time Speech Classification and Pitch Detection”,

Real-time speaker identification.

Recent advances in speaker recognition”,

Recent progress in prosodic speaker verification”,

Recommendation: Voice Activity Detector (VAD) for Adaptive Multi-Rate (AMR) Speech Traffic Channels, ETSI, Sophia Antipolis,

Robust speaker recognition on mobile devices”,

Robust Speech/Non-Speech Detection using LDA applied to MFCC”,

Robust Voice Activity Detection using Cepstral Features”,

Satisfying general proximity/similarity queries with metric trees,”

Score normalization for text-independent speaker verification systems”,

Searching in Metric Spaces”,

Silk codec: http://tools.ietf.org/html/draft-vos-silk-00,

Speaker identification and verification using Gaussian mixture speaker models”,

Speaker recognition based on idiolectal differences between speakers”.

Speaker recognition using G.729 speech codec parameters,” in

Speaker recognition using neural networks and conventional classifiers”,

Speaker recognition: a tutorial”.

Speaker verification over long distance telephone lines”,

Speaker verification using adapted gaussian mixture models”,

Speech Recognition from GSM Codec Parameters”,

Speech recognition using HMMs with quantized parameters”, INTERSPEECH

Spoken Language Processing: a Guide to Theory, Algorithm, and System Development.

Structured Programming with Goto Statements”,

Support vector machines for speaker and language recognition”,

Support vector machines using GMM supervectors for speaker verification”,

Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification,” in INTERSPEECH,

Temporally Weighted Linear Prediction Features for Speaker Verification in Additive Noise”, Odyssey 2010: The Speaker and Language Recognition Workshop,

Text-dependent speaker verification using vector quantization source coding”,

Text-independent distributed speaker identification and verification using GMM-UBM speaker models for mobile communications”,

Text-Independent Speaker Verification in Embedded Environments”, in

The PowerPC Compiler Writer’s Guide. Published for IBM by: Warthman Associates,

Vector Quantization and Signal Compression.

Vector-Quantization-Based Speech Recognition and Speaker Recognition Techniques”,

Efficient speaker recognition for mobile devices

http://epublications.uef.fi/pub/urn_isbn_978-952-61-0591-8/urn_isbn_978-952-61-0591-8.pdf

Efficient speaker recognition for mobile devices

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