Audio AI Itọsọna
Gbọ Wa ati Spell
Listen, Attend and Spell (LAS) jẹ awoṣe idanimọ ọrọ-ọrọ opin-si-opin ti ọdun 2015 ti o ya aworan awọn ẹya àlẹmọ ohun si awọn ọna tẹlentẹle ti awọn lẹta.
Gbọ si itọsọna yiiAI-ṣe afihan · ~2 min
Lori iwe yi2 min ka
Akopọ
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.
Jin Dive
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.
Real-World imuse
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.
Ojo iwaju ti Gbọ Wiwa ati Spell
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.
Fifi o sinu iwa
Kini idi ti o ṣe pataki
- Wiwọle ati arọwọto. O ṣe ilọsiwaju iraye si nipasẹ transcription, alaye, ati awọn atọkun ohun.
- Iye owo ati isuna. Awọn ẹgbẹ Media le firanṣẹ ohun didan yiyara pẹlu awọn isuna-owo kekere.
- Iyara ati iwọn. Awọn ọna ṣiṣe ti nkọju si alabara le ṣe ilana awọn ibaraẹnisọrọ sisọ ni iwọn nla.
Ṣọra fun
- ilokulo ohun ati awọn ewu afarawe ṣe pọ si nigbati igbanilaaye ba sonu.
- Yiye le ju silẹ kọja awọn asẹnti, awọn ede-ede, tabi awọn agbegbe alariwo.
- Ohun afetigbọ sintetiki le jẹ aṣiṣe fun ọrọ ododo laisi isamisi to yege.
Next awọn igbesẹ
- Gba ifọkansi ti o fojuhan fun gbigba ohun, ti ẹda, ati ilotunlo.
- Didara idanwo kọja awọn agbohunsoke oniruuru ati awọn ipo abẹlẹ.
- Ṣetumo nigbati eniyan gbọdọ ṣe atunyẹwo tabi fọwọsi awọn abajade.
- Aami ohun sintetiki ki o tọju awọn igbasilẹ provenance fun iṣiro.
Tesiwaju Ṣiṣawari
Ìwé ìròyìn ọfẹ
Gba ìkànìyàn AI ojoojúmọ́
Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.
Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.
Ṣe idanwo fun ara rẹ
Take the Listen Attend and Spell quiz
Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.
Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan
Awọn ibeere ti a beere nigbagbogbo
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.
Kini awọn paati akọkọ meji ti awoṣe LAS?
Las ni koodu 'Olugbọ' kan ti o ṣe ilana ohun ohun ati ‘Speller’ decoder ti o da lori akiyesi ti o njade awọn ohun kikọ silẹ.
Kí ni Speller ni LAS o wu?
Speller jẹ oluyipada kan ti o ṣe agbejade ohun kikọ silẹ nipa kikọ, kikọ akọtọ taara.
Kilode ti a fi n pe koodu koodu LAS ni 'pyramidal'?
Layer kọọkan ti pyramidal BLSTM jẹ idaji ipari gigun, kikuru ọna ohun afetigbọ gigun nitori akiyesi jẹ ṣiṣe iṣe iṣiro.
Ohun ti agbalagba paati LAS paapa KO beere?
Ko dabi awọn opo gigun ti HMM-DNN Ayebaye, LAS kọ ẹkọ taara lati awọn orisii ohun-si-ọrọ laisi iwe-itumọ foonu tabi titete tipatipa.
Ilana wo ni o jẹ ki Speller dojukọ apakan ti o yẹ ti ohun fun ohun kikọ kọọkan?
Ẹrọ ifarabalẹ ṣe iṣiro awọn iwuwo lori awọn ipinlẹ kooduopo, ti o n ṣẹda fekito ọrọ-ọrọ ti oluyipada naa nlo ni igbesẹ kọọkan.
Tesiwaju kikọ
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