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Audio IA
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Déglu Tekki ak Ortograafi
Listen, Attend and Spell (LAS) is a 2015 end-to-end speech-recognition model that maps acoustic filter-bank features to character sequences.
Déglul tegtal biiIA-nettali · ~2 min
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Résumé
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.
Plongeur bu xóot
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.
Doxal ci àdduna dëgg
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.
Ëlëgu Déglu Tegsi ak Ortograafi
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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Lu tax mu am solo
- Dugg ak yegg. Dafay gëna yombal jëfandikoo gi jaaraleko ci transkripsioŋ, nettali ak interfaasu baat.
- Njëgg ak budget. Ekipu mejaa yi mën nañu yónnee audio bu leer ci anam wu gëna gaaw te seen xaalis gëna néew.
- Gaawaay ak yaatuwaay. Sistem yiy jàkkarloo ak kiliyaan bi mën nañu def waxtaan ci anam wu gëna yaatu.
Moytul
- Jëfandikoo baat ci anam wu jaarul yoon ak niru ak nit dafay gëna yokk sudee nanguwul.
- Jaar-jaar mën na wàññeeku ci aksan yi, dialect yi wala barab yu bari xumbaay.
- Audio synthetik mën nañu ko jaawale ak wax ju dëggu sudee amul etiket bu leer.
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- Wutal ndigal bu leer ngir jàpp baat bi, klone ko ak jëfandikoowaat ko.
- Saytu kalite ci kàddukat yu bari ak anam yu bari ci ginaaw.
- Mandargal kañ la nit wara xoolaat wala nangu ay génne.
- Etiketu audio synthetik te nga denc dokimaa ci fimu bawoo ngir mëna lim.
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Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the Listen Attend and Spell quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
What is Listen Attend and Spell?
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.
Lan mooy ñaari mbir yi gëna am solo ci xeetu LAS?
LAS amna encodeur 'Listener' buy doxal audio bi ak decodeur 'Speller' buy def ay araf.
Lu Speller bi ci LAS di génne?
Ortograafi dekodeer la buy génne transkripsioŋ araf par araf, di jàng ortograafi ci saasi.
Lu tax ñuy woowe enkodeer LAS 'piramidal'?
Bépp couche ci pyramidal BLSTM dafay xaaj guddaayi sequence bi, di suufeel sequence audio bu gudd bi suko defee ñu mëna bàyyi xel ci ordinatër.
Ban composant bu yàgg la LAS soxlawul?
LAS wuute na ak pipeline HMM-DNN yi, ndax LAS dafay jàng ci ñaari audio-à-tekst te amul diksoneer fonem wala ñu forse ko.
Ban jumtukaay mooy may Speller mu bàyyi xelam ci wàll wi war ci audio bi ci araf bu nekk?
Benn jumtukaay buy bàyyi xel dafay xayma poid yi ci kaw etaa encodeur yi, daal di forme vecteur contexte bi decodeur bi di jëfandikoo ci jéego bu nekk.
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