Dr Anil Alexander speaking at the Royal Society’s “Science in the Interests of Justice” Conference

 Our CEO, Dr Anil Alexander is speaking at the Royal Society, one of the world’s most prestigious and oldest scientific academies, on the topic of voice recognition in forensic science. Dr Anil Alexander will be one of the invited speakers at the “Science in the Interests of Justice” conference, taking place on October 3-4, 2023. This is co-organised by the Royal Society and the National Academy of Sciences as part of their Science and Law programmes and brings together top scientists and legal experts from both sides of the Atlantic to explore the crucial role of science in the judicial system.
If you would like to be virtually part of this event, you can still secure a spot and attend online using the link below: 



Below is the abstract of the talk: 

Voice recognition is the process by which distinctive characteristics of an individual’s speech are used to identify or verify who they are. As lay listeners, humans recognise familiar voices intuitively in an everyday sense and may also find themselves being ‘earwitnesses’ to a crime, albeit rarely. When carried out by trained practitioners using specialised methodologies and tools, voice recognition, comparing often unknown speech samples, can play an important role in investigative and forensic contexts.

This talk will consider the landscape of forensic voice recognition, encompassing auditory analysis by trained listeners, acoustic-phonetic measurements of perceptually salient features, and automatic speaker recognition using signal processing and modelling algorithms that are statistical or based on deep neural networks. The Bayesian likelihood ratio framework will be critically examined as a means of evaluating the strength of evidence using any voice analysis methodology. The importance of validation of the prevalent and emerging approaches, to understand their limitations and to provide reliable and transparent reports to the courts, will be discussed.

Additionally, the varying acceptance of voice recognition evidence in different parts of the world will be explored. Anticipating the new challenges posed by machine-created spoofed speech, this talk also will reflect on the risks, mitigations and, more optimistically, emerging opportunities afforded by using both human- and machine-based analysis.

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