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The 28 pages that link to Speech recognition, each with the reason it gives.

• PhonemeRelated: Phoneme models have been used to connect acoustic signals with linguistic units.

• PhonologyRelated: Recognition systems use phonological patterns to interpret variable speech pronunciations.

• ProsodyRelated: Prosodic cues can help distinguish phrase boundaries and competing interpretations.

• PhoneticsRelated: Recognition systems use acoustic patterns that phonetic analysis helps describe.

• International Phonetic AlphabetRelated: Phonetic representations connect acoustic speech analysis to language sound categories.

• Natural language processingRelated: It connects NLP with spoken-language interfaces and speech technologies.

• MicrophoneRelated: A microphone provides the acoustic input that recognition software analyzes.

• Turn-takingRelated: Recognizing turn endings helps systems decide when to process an utterance.

• FormantRelated: Formant measurements can provide acoustic cues for recognizing speech sounds.

• VowelRelated: Recognizing vowel patterns helps distinguish words in acoustic speech.

• Deep learningRelated: Deep-learning systems learn acoustic and linguistic patterns for recognizing speech.

• Phonetic transcriptionRelated: Phonetic transcriptions can annotate sound-level data used to develop or evaluate recognition systems.

• AccentRelated: Recognition systems can perform unevenly across accents.

• Convolutional neural networkRelated: Convolutions can detect local patterns in spectrograms of speech.

• Acoustic phoneticsRelated: Recognition systems use acoustic patterns to infer spoken units.

• Audio signalRelated: Recognition systems analyze audio signals to identify spoken words.

• PronunciationRelated: Variation in pronunciation affects how reliably systems recognize speech.

• ChatbotRelated: Voice-enabled chatbots often transcribe speech before interpreting a request.

• Viterbi algorithmRelated: Hidden-state sequence models have used Viterbi search to align acoustic observations with word or phoneme paths.

• Spoken languageRelated: It tests how well machines can identify words in variable speech.

• Andrew NgRelated: Ng’s deep-learning research included systems for recognizing speech from audio.

• Communication sciencesRelated: Models of speech perception inform technologies that recognize spoken communication.