Speech/Data discrimination in Communication systems (original) (raw)
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IEEE Transactions on Communications, 1986
This paper concerns the design of a speech/data discriminator with the speed and accuracy required for statistical multiplexing of speech and high-speed baseband data on a single telephone line. The structure proposed for the discriminator combines the information from two parallel processes. The first process, even though slow, accurately recognizes the speech/data nature of the signal. This nature is determined by statistical pattern. classification applied to simple zero-crossing-type parameters extracted from the signal filtered in a PCM representation. The second process has temporal accuracy in detecting transition events, from speech to data and vice versa. This detection is provided by special parameters which supply tentative transition markers. This paper applies these processes to the case of 9600 bit/s modems and describes a complete discrimination algorithm which is fit for microprocessor technology. The simulation results provided indicate a very low error rate and demonstrate that transitions are detected exactly or within one or two sampling intervals.
Speech/voice-band data classification for data traffic measurements in telephone-type systems
IEEE Transactions on Instrumentation and Measurement, 2000
A noise-insensitive technique for the discrimination between speech and voice-band data transmissions over a telephone-type system is presented. The proposed procedure combines together the evaluation of some meaningful parameters extracted from the observed speech or data communication signal, with an analysis of the statistical moments associated to these parameters. In this way, the discrimination capability associated to the extracted parameters is enforced by the moment analysis that better exploits the time-varying properties of speech signals. Experimental results, that show the good behavior of the classifier in terms of probability of error with respect to signal-to-noise ratio (SNR) are reported and discussed.
Immediate recognition of signals in simultaneous transmission of voice and high speed data
This paper describes an approach to immediate and accurate discrimination between speech and baseband data signals for achieving effective transmission of baseband data during silences in a telephone conversation. The method proposed is based on the use of control words delimiting each signal to be multiplexed. The paper provides guidelines for choosing such control words and proposes suitable techniques for solving any transparency problem during the signal transmission.
A Novel Methodology for Identification of Unclassified Digital Voice
2013
Voice signals are encoded with various techniques to exploit communication resources such as source, channel, computation and cost of operation. These encoded signals are generally multiplexed with same/different signal type (data, say). At the receiver end, after the data and voice signals are discriminated, the voice bit stream has to be passed through the respective decoder in order to get meaningful audio. Identification of correct decoder requires a digital voice classifier. The importance of such classification before decoding get especially noticed in the cases of design of universal voice decoder where the unknown/unclassified bit stream is expected as of one of the codec out of many types of codec. We call the set of all expected decoders as an ensemble. In this paper, a concept of operation of digital voice classifier before decoder is proposed .This proposed method is superior to method of subjecting a given unclassified bit stream to each of the decoder in a given ensemb...
Fast detection of specific information in voice signal over internet protocol
2009
The world Telecommunications industry caters to both Wireline and Wireless business. In the present Fourth Generation (4G) wireless world rapid change is the only constant factor. The biggest paradigm change being the move from Circuit Switched to Packet Switched technologies. Voice over Packet (VoP) is transforming telephony by rapidly replacing the legacy circuit-switched technology. The VoP technology unites the telephony and data worlds allowing voice, facsimile, and video traffics to be relayed over managed IP networks or corporate intranets around the world. In this paper, various aspects of Voice over Internet Protocol (VoIP) are discussed, including the architecture for the NGMN, challenges, standards and the application areas. In addition a new approach for fast detecting certain information in VOIP is presented. The entire data are collected together in a long vector and then tested as a one input pattern. Proposed fast time delay neural networks (FTDNNs) use cross correlation in the frequency domain between the tested data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented time delay neural networks is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.
Review On Speech Signal Processing & Its Techniques
European Journal of Molecular & Clinical Medicine, 2020
Immense advancement in technology has enabled an easy speech & speaker recognition and signal processing. This review discusses the formation of speech, various mechanism and techniques used in identifying, extracting and deciphering the speech signals and its processing. The rapid pace of the field demands active efforts to ensure that this breakthrough technology is used responsibly for effective signal recognition and processing. This technology has a major importance in Forensics as it assists in investigation process, by this they can repair, enhance, and analyse audio recordings using a variety of scientific tools and techniques.
Speech coding and identification techniques for net centric communication
Speech has been considered to be a most important component for human to convey information to one another. Today, speech communications are available for a number of applications. In applications like military, net centric communications are accessed by large number of users so it has to be given more protection and security against attacks. This paper deals with the most promising research in the integrating of speech coding, speaker authentication and strong encryption. The special features such as encryption provide more confidentiality and authentication to guard against masquerade and error tolerance to operate under acoustic environment in battlefield. This paper gives an overview of the concepts and techniques available in speech coding, speaker Identification, Encryption and Decryption.
Novel Approaches to Speech Detection in the Processing of Continuous Audio Streams
Robust Speech Recognition and Understanding, 2007
Open Access Database www.i-techonline.com Robust Speech Recognition and Understanding 24 a generic phoneme recognizer. We also propose the fusion of different selected representations in order to improve the speech-detection results. Section 3 describes the two SNS-segmentation approaches used in our evaluations, one of which was specially designed for the proposed feature representation. In the evaluation section we present results from a wide range of experiments on a BN audio database using different speech-processing applications. We try to assess the performance of the proposed representation using a comparison with existing approaches for two different tasks. In the first task the performance of different representations of the audio signals is assessed directly by comparing the evaluation results of speech and non-speech detection on BN audio data. The second group of experiments tries to determine the impact of SNS segmentation on the subsequent processing of the audio data. We then measure the impact of different SNSsegmentation systems when they are applied in a pre-processing step of an evaluated speaker-diarisation system that is used as a speaker-tracking tool for BN audio data.