For speech recordings you need to ensure that the recorder is capable of capturing frequencies between 100 and 10,000Hz. the frequency response of a system shows us how it changes the spectrum of the signal passing through, typically this is described using the range of frequencies which have a response within 3dB of the peak response.The overall quality of the chain is the combination of the quality of the components.Ī number of standard measures are used to describe the quality of the component systems in the recording chain: Each component of the chain is a system that may change the signal passing through it. You can consider audio recording and playback as involving a chain of different components and a sequence of transformations of the signal: the microphone converts sound to electricity the pre-amplifier increases the size of the microphone signal the recorder converts the signal to a physical form which can be stored permanently the storage medium holds the recording but may itself deteriorate with time the player reconverts the stored form back to a signal the amplifier makes the signal large enough to drive a loudspeaker which converts signals back into pressure waves. Making good speech recordings The recording chain.Such analysis may then lead to new means of diagnosis, new methods for theĪssessment of individuals or for the evaluation of new therapies. indexical information) such that the recurring speakingĬharacteristics of particular groups of speakers can be analysed by acoustical and statistical The idea here is for the collection of large numbers of audio recordings with Research groups also band together to share data free of charge to other researchers, for example OSCAAR or CHILDES.Ĭorpora of speech recordings collected within a clinical context are also becoming more The two largest commercial speech corpora agencies are Linguistic Data Consortium (LDC) and European Language Resources Association (ELRA). Generally however, the fee will be less than the cost of recording the data yourself. However, well-constructed speech corpora are expensive to make and sometimes access to corpora entails a fee, even for research purposes. Increasingly large amounts of speech data are now publicly available, reducing the need for individual researchers to collect their own data. When speech audio is collected to investigate some phonetic hypothesis, it is wasteful to then discard the data afterwards, not only because the data might be re-used by yourself or someone else, but also because anyone wanting to reproduce your research will need access to your data. Under the heading of "open data", it is increasingly the view of the research community that researchers should publish all the tools and data used to derive journal paper results. Open access research and open data & toolsĪ shift to open access publishing makes it easier for researchers to find published work related to their research topics. Better speech analysis tools provide more accurate measurements of signal properties. Faster computers, greater storage capacities and faster network speeds make speech signal analysis quicker to perform. Portable digital audio recorders, miniature condenser microphones, high-quality analog-to-digital conversion, large digital memories and long battery life make the process of collecting high-quality speech recordings easier than ever. Speech audio analysis remains the most used instrument for experimental phonetics. More coherent theoretical positions relating underlying phonological representations to surface articulatory gestures provide new frameworks for hypothesis testing.Įase of making and analysing speech audio recordings Improved mathematical modelling techniques provide better means for building predictive models from data. New, less invasive methods for instrumenting articulation, such as electro-magnetic articulography (EMA) and real-time magnetic-resonance imaging (rtMRI) are providing much more quantitative data about the processes of speech planning and execution.
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