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Listen, Attend and Spell (LAS) is a 2015 end-to-end speech-recognition model that maps acoustic filter-bank features to character sequences.
Dhageyso hagahanAI-waa laga sheekeeyay · ~2 min
Its Listener is a pyramidal recurrent encoder; its Speller is an attention-based recurrent decoder. The original paper reports results for a specific Google voice-search subset and does not establish that LAS outperformed the compared production system.
The LAS paper defines two components: a Listener, a pyramidal recurrent encoder that accepts filter-bank spectra, and a Speller, an attention-based recurrent decoder that emits characters. The pyramidal encoder reduces sequence length, making attention over the encoded frames more manageable. The paper describes joint learning of recognizer components and reports that its model generated character sequences without a pronunciation dictionary or a separately trained language model. On a subset of Google voice search, it reports 14.1% WER without a language model and 10.3% with language-model rescoring; the compared CLDNN-HMM result was 8.0%. These historical numbers apply to the paper’s specific evaluation.
Use LAS as a historical example of an encoder-decoder recognizer that emits characters from acoustic input.
Inspect how the pyramidal Listener reduces the length of the encoder sequence.
Trace how attention connects each Speller output step to encoder states.
Compare reported WER only within the paper’s stated task and evaluation setup.
LAS is useful historically for understanding attention-based end-to-end ASR. Later systems explored different encoders, objectives, and streaming mechanisms; performance and latency must be compared on the same data and decoding conditions.
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Listen, Attend and Spell (LAS) is a 2015 end-to-end speech-recognition model that maps acoustic filter-bank features to character sequences. Its Listener is a pyramidal recurrent encoder; its Speller is an attention-based recurrent decoder. The original paper reports results for a specific Google voice-search subset and does not establish that LAS outperformed the compared production system.
LAS waxa ay ka kooban tahay codeeyaha 'Dhageystaha' kaas oo farsameeya maqalka iyo 'Speller' decoder-ku-salaysan oo soo saara jilayaasha.
Higgaadiyaha waa furaha soo saara jilaha qoraalka, si toos ah u baranaya higgaadda.
Lakab kasta oo ka mid ah pyramidal BLSTM wuxuu kala barayaa dhererka isku xigxiga, isagoo gaabinaya isku xigxiga maqalka dheer si taxadarku u noqdo mid macquul ah.
Si ka duwan sida dhuumaha HMM-DNN ee caadiga ah, LAS waxay si toos ah wax uga barataa lammaane maqal-ilaa-qoraalka ah oo aan lahayn qaamuus foonme ah ama toosin qasab ah.
Farsamaynta fiiro gaar ah waxay ku xisaabisaa miisaannada cod-bixiyayaasha, samaynta macnaha guud ee qalabka wax-qabaduhu isticmaalo tallaabo kasta.
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