Speech Technology and Forensic Phonetics
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Speech Technology and Forensic Phonetics

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Questions and Answers

Which of the following is a major system used in Automatic Speech Recognition (ASR)?

  • Amazon Polly
  • Festival
  • DeepSpeech (correct)
  • Audacity

    • What is a common real-world application of Speech and Language Technology (SLT)?

  • Video Editing Software
  • Programming IDEs
  • Data Analytics Platforms
  • Speech Assistants (correct)

    • What does the NLP engine in Speech and Language Technology utilize?

  • User Interface Design
  • Database Management System
  • Model and Algorithm (correct)
  • Machine Learning Framework

    • Which tool is mentioned for tasks related to Forensic Phonetics?

    <p>praat</p> Signup and view all the answers

    Which course topic focuses on the processing challenges of a specific language?

    <p>Spoken Arabic Processing</p> Signup and view all the answers

    What is the primary focus of forensic phonetics?

    <p>The application of phonetics in police work and legal evidence.</p> Signup and view all the answers

    Who are the primary analysts in forensic phonetics?

    <p>Linguists and phoneticians.</p> Signup and view all the answers

    What role does AI play in speech recognition?

    <p>AI automates linguistic and phonetic analyses without the need for expert interpretation.</p> Signup and view all the answers

    Which area does NOT fall under the scope of speech and language technology?

    <p>Historical phonetic studies.</p> Signup and view all the answers

    How do multimodal and multimedia technologies improve human-computer interaction?

    <p>By integrating multiple communication modalities to enhance usability.</p> Signup and view all the answers

    What is one outcome of using AI in speech recognition systems?

    <p>AI facilitates automation in analyses that still require expert interpretation.</p> Signup and view all the answers

    What type of technologies are key advancements in speech and language processing?

    <p>Multimodal and multimedia technologies.</p> Signup and view all the answers

    What do computer scientists contribute to forensic phonetics?

    <p>They create software to automate analyses.</p> Signup and view all the answers

    What does Speech and Language Technology primarily aim to do?

    <p>Process and understand human speech and written language</p> Signup and view all the answers

    Which of the following is NOT an example of a key application of Speech and Language Technology?

    <p>Document encoding software</p> Signup and view all the answers

    What is the primary function of Automatic Speech Recognition (ASR)?

    <p>To convert speech to text</p> Signup and view all the answers

    Which of the following subfields is NOT associated with Speech and Language Technology?

    <p>Text Analysis</p> Signup and view all the answers

    What does a multimodal Text-to-Speech (TTS) system NOT do?

    <p>Provide visual climate data</p> Signup and view all the answers

    Which technology combines multiple forms of input for effective communication?

    <p>Multimodal AI Systems</p> Signup and view all the answers

    Which step in Automatic Speech Recognition (ASR) is responsible for modeling the relation between human speech sounds and their corresponding text?

    <p>Acoustic Modeling</p> Signup and view all the answers

    What type of virtual assistants utilize Speech and Language Technology for interaction?

    <p>Intelligent Virtual Assistants</p> Signup and view all the answers

    What does speech processing primarily concern itself with?

    <p>How speech is generated and understood</p> Signup and view all the answers

    Which of the following is NOT a core technology associated with speech processing?

    <p>Natural Language Processing (NLP)</p> Signup and view all the answers

    What is the main goal of core speech technology?

    <p>To develop algorithms for speech recognition and generation</p> Signup and view all the answers

    Which field is NOT directly associated with the science of speech technology?

    <p>Physics</p> Signup and view all the answers

    What does Part-of-Speech Tagging in language processing help identify?

    <p>The grammatical roles of words</p> Signup and view all the answers

    Which process involves splitting text into words or phrases?

    <p>Tokenization</p> Signup and view all the answers

    What does Named Entity Recognition (NER) mainly address in language processing?

    <p>Extracting entities such as names and locations</p> Signup and view all the answers

    How does language function as a medium in both science and engineering?

    <p>By providing tools for communication and cognitive processes</p> Signup and view all the answers

    Study Notes

    Speech Technology

    • Speech and language technology (SLT) uses computational methods to process and understand human speech and written language.
    • SLT comprises numerous aspects of human-computer interaction, including speech & voice recognition, predictive text, voice-command interfaces, spell & grammar checkers, document summarization, and text-to-speech synthesis.
    • SLT relies on automated parsing and analysis of human language.
    • SLT comprises two subfields: speech processing and natural language processing (NLP).

    Forensic Phonetics

    • Forensic phonetics is the application of knowledge, theories, and methods of general phonetics to practical tasks related to police work or legal proceedings.
    • It includes developing new forensic-phonetic knowledge, theories, and methods.
    • Experts in forensic phonetics often use a combination of software, expertise, and statistical approaches in their analyses.
    • Computer scientists have developed technologies to automate linguistic and phonetic analyses using Artificial Intelligence (AI).

    Multimodal Technologies

    • Multimodal technologies integrate multiple types of input and output data, such as speech, text, images, and gestures to enhance human-computer interaction.
    • Aim to create more natural, accurate, and usable systems.
    • Examples of multimodal systems:
      • Virtual assistants like Siri and Alexa.
      • Interactive language tutoring platforms.
      • Speech recognition systems incorporating visual context.
    • These technologies are key advancements that create more engaging and natural communication systems.

    Speech Processing

    • Speech processing is the science of how speech communication works: production by the speaker and understanding by the listener.
    • It's also about analyzing and modeling these processes and using those models for technologies that produce and understand speech (synthetic voices, speech recognizers).
    • Speech technology is vital for understanding and remediating disordered speech.
    • Speech technology intersects various disciplines, particularly linguistics, psychology, acoustics, and engineering.

    Core Speech Technologies

    • Automatic Speech Recognition (ASR) transcribes speech to text.
    • Text-to-Speech (TTS) transforms written text into speech.
    • Language Generation translates concepts into words.
    • Spoken language understanding (similar to written language parsing).
    • Speaker verification and voice print technologies are also fundamental.

    Language Processing

    • Language processing focuses on computational theories of grammar and meaning.
    • It provides access to fundamentals of linguistics as a science and an engineering discipline.
    • It's concerned with language as a medium for thought and communication.
    • It's used in tools like predictive text, automated personal assistants, web search, and sentiment analysis.

    Key Technologies in Speech and Language Technology

    • ASR: covers its workings and major systems like Google Speech and DeepSpeech.
    • TTS: outlines its pipeline and popular engines like Amazon Polly and Festival.

    Real-World Use Cases

    • Speech assistants (Siri, Alexa, Google Assistant).
    • Real-time transcription (Otter.ai).
    • Machine translation (DeepL, Google Translate).
    • Healthcare and accessibility applications.

    Course Content

    • Course topics:
      • Introduction to Forensic Phonetics and Linguistics Applications.
      • Speaker Identification and Verification, Voice print, and the Document Examiner (using Audacity software).
      • Challenges of Spoken Arabic Processing.
      • Speech Synthesis (using Praat).
      • Arabic Text-to-Speech.
      • Speech Recognition System (using Google Cloud).
      • Data in Forensic Phonetics.

    Pre-Reading for Next Lecture

    • Read and summarize the chapter: Sinha.S (2015): Forensic Linguistics and Forensic Phonetics: An Introduction, International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 2015, Vol 2, No.6, 153-157.

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    Related Documents

    Introduction to Forensic Phonetics Applications 2024 PDF

    Description

    Explore the fascinating world of Speech and Language Technology (SLT) and its applications in forensic phonetics. This quiz delves into both speech processing and natural language processing, highlighting their significance in human-computer interaction and legal proceedings. Test your knowledge about how technology aids in understanding and analyzing human speech.

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