In a distant environment, channel distortion may drastically degrade speaker recognition performance. In this paper, we propose a robust speaker recognition method based on position dependent Cepstral Mean Normalization (CMN) to compensate the channel distortion depending on the speaker position. It is shown in [1] that the position dependent CMN is robust for speech recognition in a distant en...

This paper introduces the performance evaluation of statististical approaches for Automatic-text-independent Speaker Recognition system. Automatic-text-independent Speaker Recognition system is to quickly and accurately identify the person from his/her voice. The study on the effect of feature vector size for good speaker recognition demonstrates that the feature vector size in the range of 18-...

This paper proposes a new method for text-dependent speaker recognition. The scheme is based on learning (what we refer to as) speaker-specific compensators for each speaker in the system. The compensator is essentially a speaker to speaker transformation which enables the recognition of the speech of one speaker through a speaker-dependent speech recognition system built for the other. Such a ...

Speaker recognition is basically divided into two-classification: speaker recognition and speaker identification and it is the method of automatically identify who is speaking on the basis of individual information integrated in speech waves. Speaker recognition is widely applicable in use of speaker’s voice to verify their identity and control access to services such as banking by telephone, d...

This paper presents Cisco’s speaker segmentation and recognition (SSR) system, which is a part of a commercial product. Cisco SSR uses speaker segmentation and speaker recognition algorithms with a crowd sourcing approach to create speaker metadata. The speaker metadata makes the enterprise videos more accessible and more navigable by itself, and by its combination with other forms of metadata ...

In this paper, we propose a robust speaker recognition method based on position-dependent Cepstral Mean Normalization (CMN) to compensate for the channel distortion depending on the speaker position. In the training stage, the system measures the transmission characteristics according to the speaker positions from some grid points to the microphone in the room and estimates the compensation par...

This paper studies the overlapped speech detection for improving the performance of the summed channel speaker recognition system in NIST Speaker Recognition Evaluation (SRE). The speaker recognition system includes four main modules: voice activity detection, speaker diarization, overlapped speaker detection and speaker recognition. We adopt a GMM based overlapped speaker detection system, by ...