• Title/Summary/Keyword: Voice activity detection

Search Result 103, Processing Time 0.023 seconds

Voice Activity Detection Based on Signal Energy and Entropy-difference in Noisy Environments (엔트로피 차와 신호의 에너지에 기반한 잡음환경에서의 음성검출)

  • Ha, Dong-Gyung;Cho, Seok-Je;Jin, Gang-Gyoo;Shin, Ok-Keun
    • Journal of Advanced Marine Engineering and Technology
    • /
    • v.32 no.5
    • /
    • pp.768-774
    • /
    • 2008
  • In many areas of speech signal processing such as automatic speech recognition and packet based voice communication technique, VAD (voice activity detection) plays an important role in the performance of the overall system. In this paper, we present a new feature parameter for VAD which is the product of energy of the signal and the difference of two types of entropies. For this end, we first define a Mel filter-bank based entropy and calculate its difference from the conventional entropy in frequency domain. The difference is then multiplied by the spectral energy of the signal to yield the final feature parameter which we call PEED (product of energy and entropy difference). Through experiments. we could verify that the proposed VAD parameter is more efficient than the conventional spectral entropy based parameter in various SNRs and noisy environments.

Voice Activity Detection Based on Non-negative Matrix Factorization (비음수 행렬 인수분해 기반의 음성검출 알고리즘)

  • Kang, Sang-Ick;Chang, Joon-Hyuk
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.35 no.8C
    • /
    • pp.661-666
    • /
    • 2010
  • In this paper, we apply a likelihood ratio test (LRT) to a non-negative matrix factorization (NMF) based voice activity detection (VAD) to find optimal threshold. In our approach, the NMF based VAD is expressed as Euclidean distance between noise basis vector and input basis vector which are extracted through NMF. The optimal threshold each of noise environments depend on NMF results distribution in noise region which is estimated statistical model-based VAD. According to the experimental results, the proposed approach is found to be effective for statistical model-based VAD using LRT.

An Efficient Voice Activity Detection Method using Bi-Level HMM (Bi-Level HMM을 이용한 효율적인 음성구간 검출 방법)

  • Jang, Guang-Woo;Jeong, Mun-Ho
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.10 no.8
    • /
    • pp.901-906
    • /
    • 2015
  • We presented a method for Vad(Voice Activity Detection) using Bi-level HMM. Conventional methods need to do an additional post processing or set rule-based delayed frames. To cope with the problem, we applied to VAD a Bi-level HMM that has an inserted state layer into a typical HMM. And we used posterior ratio of voice states to detect voice period. Considering MFCCs(: Mel-Frequency Cepstral Coefficients) as observation vectors, we performed some experiments with voice data of different SNRs and achieved satisfactory results compared with well-known methods.

Impact of Voice Activity Detection on Channel Allocation in Cellular Networks

  • Limsaksri, Wichan;Thipchaksurat, Sakchai;Varakulsiripunth, Ruttikorn
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2004.08a
    • /
    • pp.1067-1071
    • /
    • 2004
  • In this paper, the performance enhancement algorithm of channel allocation for voice and data transmission in cellular networks is proposed. The voice activity detection has been applied to dynamic channel allocation procedure to detect and separate the silence and speech among conversation periods. Hence a data user can use the silent period of an active voice channel to transmit its information. To control the selecting of channel allocation policies, the information of number of data in transmission waiting queue has been determined in order to accept the performance measurement. In the simulation results, the improvement of the performance shows via the quality of services, which are an average delay in queue, a blocking probability, and an impact of the proposed scheme is presented in the system.

  • PDF

Applying the Bi-level HMM for Robust Voice-activity Detection

  • Hwang, Yongwon;Jeong, Mun-Ho;Oh, Sang-Rok;Kim, Il-Hwan
    • Journal of Electrical Engineering and Technology
    • /
    • v.12 no.1
    • /
    • pp.373-377
    • /
    • 2017
  • This paper presents a voice-activity detection (VAD) method for sound sequences with various SNRs. For real-time VAD applications, it is inadequate to employ a post-processing for the removal of burst clippings from the VAD output decision. To tackle this problem, building on the bi-level hidden Markov model, for which a state layer is inserted into a typical hidden Markov model (HMM), we formulated a robust method for VAD not requiring any additional post-processing. In the method, a forward-inference-ratio test was devised to detect the speech endpoints and Mel-frequency cepstral coefficients (MFCC) were used as the features. Our experiment results show that, regarding different SNRs, the performance of the proposed approach is more outstanding than those of the conventional methods.

Robust Feature Extraction for Voice Activity Detection in Nonstationary Noisy Environments (음성구간검출을 위한 비정상성 잡음에 강인한 특징 추출)

  • Hong, Jungpyo;Park, Sangjun;Jeong, Sangbae;Hahn, Minsoo
    • Phonetics and Speech Sciences
    • /
    • v.5 no.1
    • /
    • pp.11-16
    • /
    • 2013
  • This paper proposes robust feature extraction for accurate voice activity detection (VAD). VAD is one of the principal modules for speech signal processing such as speech codec, speech enhancement, and speech recognition. Noisy environments contain nonstationary noises causing the accuracy of the VAD to drastically decline because the fluctuation of features in the noise intervals results in increased false alarm rates. In this paper, in order to improve the VAD performance, harmonic-weighted energy is proposed. This feature extraction method focuses on voiced speech intervals and weighted harmonic-to-noise ratios to determine the amount of the harmonicity to frame energy. For performance evaluation, the receiver operating characteristic curves and equal error rate are measured.

A Study on a Robust Voice Activity Detector Under the Noise Environment in the G,723.1 Vocoder (G.723.1 보코더에서 잡음환경에 강인한 음성활동구간 검출기에 관한 연구)

  • 이희원;장경아;배명진
    • The Journal of the Acoustical Society of Korea
    • /
    • v.21 no.2
    • /
    • pp.173-181
    • /
    • 2002
  • Generally the one of serious problems in Voice Activity Detection (VAD) is speech region detection in noise environment. Therefore, this paper propose the new method using energy, lsp varation. As a result of processing time and speech quality of the proposed algorithm, the processing time is reduced due to the accurate detection of inactive period, and there is almot no difference in the subjective quality test. As a result of bit rate, proposed algorithm measures the number of VAD=1 and the result shows predominant reduction of bit rate as SNR of noisy speech is low (about 5∼10 dB).

A Comparative Study of Voice Activity Detection Algorithms in Adverse Environments (잡음 환경에서의 음성 검출 알고리즘 비교 연구)

  • Yang Kyong-Chul;Yook Dong-Suk
    • Proceedings of the KSPS conference
    • /
    • 2006.05a
    • /
    • pp.45-48
    • /
    • 2006
  • As the speech recognition systems are used in many emerging applications, robust performance of speech recognition systems under extremely noisy conditions become more important. The voice activity detection (VAD) has been taken into account as one of the important factors for robust speech recognition. In this paper, we investigate conventional VAD algorithms and analyze the weak and the strong points of each algorithm.

  • PDF

A Weighted Feature Voting Approach for Robust and Real-Time Voice Activity Detection

  • Moattar, Mohammad Hossein;Homayounpour, Mohammad Mehdi
    • ETRI Journal
    • /
    • v.33 no.1
    • /
    • pp.99-109
    • /
    • 2011
  • This paper concerns a robust real-time voice activity detection (VAD) approach which is easy to understand and implement. The proposed approach employs several short-term speech/nonspeech discriminating features in a voting paradigm to achieve a reliable performance in different environments. This paper mainly focuses on the performance improvement of a recently proposed approach which uses spectral peak valley difference (SPVD) as a feature for silence detection. The main issue of this paper is to apply a set of features with SPVD to improve the VAD robustness. The proposed approach uses a weighted voting scheme in order to take the discriminative power of the employed feature set into account. The experiments show that the proposed approach is more robust than the baseline approach from different points of view, including channel distortion and threshold selection. The proposed approach is also compared with some other VAD techniques for better confirmation of its achievements. Using the proposed weighted voting approach, the average VAD performance is increased to 89.29% for 5 different noise types and 8 SNR levels. The resulting performance is 13.79% higher than the approach based only on SPVD and even 2.25% higher than the not-weighted voting scheme.

Development of an Integrated Packet Voice/Data Terminal (패킷 음성/데이터 집적 단말기의 개발)

  • 전홍범;은종관;조동호
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.13 no.2
    • /
    • pp.171-181
    • /
    • 1988
  • In this study, a packet voice/data terminal(PVDT) that services both voice and data in the packet-switched network is implemented. The software structure of the PVDT is designed according to the OSI 7 layer architecture. The discrimination of voice and data is made in the link layer. Voice packets have priority over data packets in order to minimize the transmission delay, and are serviced by a simple protocol so that the overhead arising form the retransmission of packets may be minimized. The hardware structure of the PVDT is divided into five modules; a master control module, a speech proessing module, a speech activity detection module, a telephone interface module, and an input/output interface module. In addition to the hardware implementation, the optimal reconstruction delay of voice packets to reduce the influence of delay variance is analyzed.

  • PDF