Personne

Jitendra Ajmera

Publications associées (20)

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Detection and Recognition of Number Sequences in Spoken Utterances

Guillermo Aradilla, Jitendra Ajmera

In this paper we investigate the detection and recognition of sequences of numbers in spoken utterances. This is done in two steps: first, the entire utterance is decoded assuming that only numbers were spoken. In the second step, non-number segments (garb ...

2007

Detection and Recognition of Number Sequences in Spoken Utterances

Guillermo Aradilla, Jitendra Ajmera

IDIAP2007

Clustering And Segmenting Speakers And Their Locations In Meetings

Guillaume Lathoud, Jitendra Ajmera

This paper presents a new approach toward automatic annotation of meetings in terms of speaker identities and their locations. This is achieved by segmenting the audio recordings using two independent sources of information : magnitude spectrum analysis an ...

2004

Speech/Music Discrimination using Entropy and Dynamism Features in a HMM Classification Framework

Hervé Bourlard, Jitendra Ajmera

In this paper, we present a new approach towards high performance speech/music discrimination on realistic tasks related to the automatic transcription of broadcast news. In the approach presented here, the (local) Probability Density Function (PDF) estima ...

2003

Clustering And Segmenting Speakers And Their Locations In Meetings

Guillaume Lathoud, Jitendra Ajmera

IDIAP2003

A Robust Speaker Clustering Algorithm

Jitendra Ajmera

In this paper, we present a novel speaker segmentation and clustering algorithm. The algorithm automatically performs both speaker segmentation and clustering without any prior knowledge of the identities or the number of speakers. Advantages of this algor ...

IDIAP2003

A Robust Speaker Clustering Algorithm

Jitendra Ajmera

2003

Robust HMM-Based Speech/Music Segmentation

Hervé Bourlard, Jitendra Ajmera

In this paper we present a new approach towards high performance speech/music segmentation on realistic tasks related to the automatic transcription of broadcast news. In the approach presented here, the local probability density function (PDF) estimators ...

2002

Improved Unknown-Multiple Speaker clustering using HMM

Hervé Bourlard, Jitendra Ajmera

In this report, we build up on our previous work on speaker clustering, where the number of speakers and segmentation boundaries are unknown a priori. We employ an ergodic HMM with minimum duration topology for this purpose. Starting from a large number of ...

IDIAP2002

Unknown-Multiple Speaker clustering using HMM

Hervé Bourlard, Jitendra Ajmera

An HMM-based speaker clustering framework is presented, where the number of speakers and segmentation boundaries are unknown \emph{a priori}. Ideally, the system aims to create one pure cluster for each speaker. The HMM is ergodic in nature with a minimum ...

2002