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Sikiliza Hudhuria na Tahajia

Listen, Attend and Spell (LAS) is a 2015 end-to-end speech-recognition model that maps acoustic filter-bank features to character sequences.

Sikiliza mwongozo huuInaonyeshwa na AI · ~2 min

Anza kusomaChukua chemsha bongo
Katika ukurasa huudk 2 kusoma
  1. Muhtasari
  2. Dive ya kina
  3. Utekelezaji wa Ulimwengu Halisi
  4. Mustakabali wa Kusikiliza Hudhuria na Tahajia
  5. Kuiweka katika vitendo
  6. Endelea Kuchunguza
  7. Maswali yanayoulizwa mara kwa mara

Muhtasari

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.

Dive ya kina

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.

Utekelezaji wa Ulimwengu Halisi

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.

Mustakabali wa Kusikiliza Hudhuria na Tahajia

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.

Kuiweka katika vitendo

Kwa nini ni muhimu

  • Kufikia na kufikia. Huboresha ufikiaji kupitia manukuu, simulizi na violesura vya sauti.
  • Gharama na bajeti. Timu za media zinaweza kusafirisha sauti iliyoboreshwa haraka na bajeti ndogo.
  • Kasi na kiwango. Mifumo inayowakabili wateja inaweza kuchakata mwingiliano wa mazungumzo kwa kiwango kikubwa.

Jihadharini na

  • Hatari za matumizi mabaya ya sauti na uigaji huongezeka wakati kibali kinakosekana.
  • Usahihi unaweza kushuka katika lafudhi, lahaja au mazingira yenye kelele.
  • Sauti ya syntetisk inaweza kudhaniwa kimakosa kuwa usemi halisi bila kuweka lebo wazi.

Hatua zinazofuata

  1. Pata idhini ya moja kwa moja ya kunasa sauti, kuunda na kutumia tena.
  2. Jaribu ubora kwenye spika na hali mbalimbali za usuli.
  3. Bainisha wakati ni lazima binadamu akague au aidhinishe matokeo.
  4. Weka lebo sauti ya sintetiki na uhifadhi rekodi za asili kwa uwajibikaji.

Endelea Kuchunguza

Sauti AI

Jifunze jinsi mifumo ya usemi inavyotambua na kutoa lugha.Soma Mwongozo

Muziki wa AI

Kuelewa zana za kisasa za kizazi cha muziki na vikwazo.Soma Mwongozo

Jarida halali

Pata taarifa ya kila siku ya AI

Hadithi tatu za AI zilizothibitishwa kila asubuhi ya wiki, zimetengenezwa kwa Kiingereza rahisi. Bila malipo daima, hakuna matangazo.

Barua pepe moja kila siku ya wiki. Jiondoe kwa bonyeza moja. Hatutauza au kushiriki anwani yako.

Jijaribu mwenyewe

Take the Listen Attend and Spell quiz

Maoni ya haraka juu ya kila jibu, na cheti kinachoweza kushirikishwa na kitambulisho kinachoweza kuthibitishwa baada ya kupita kozi.

Anza chemsha bongo

Changia elimu ya AI bila malipo. AI Understanding ni 501(c)(3) isiyo na faida — hakuna matangazo, hakuna kizuizi cha malipo, daima. Toa mchango

Maswali yanayoulizwa mara kwa mara

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.

Je! ni sehemu gani kuu mbili za mfano wa LAS?

LAS inajumuisha programu ya kusimba ya 'Msikilizaji' ambayo huchakata sauti na avkodare inayozingatia umakini wa 'Speller' ambayo hutoa vibambo.

Speller katika LAS hutoa nini?

Speller ni avkodare ambayo hutoa unukuzi kwa herufi, kujifunza tahajia moja kwa moja.

Kwa nini kisimbaji cha LAS kinaitwa 'pyramidal'?

Kila safu ya piramidi BLSTM inapunguza urefu wa mfuatano kwa nusu, na kufupisha mfuatano mrefu wa sauti ili umakini uwezekane kwa kukokotoa.

Ni sehemu gani ya zamani ambayo LAS HAIHITAJI?

Tofauti na njia za kawaida za HMM-DNN, LAS hujifunza moja kwa moja kutoka kwa jozi za sauti-hadi-maandishi bila kamusi ya fonimu au upangaji wa kulazimishwa.

Ni utaratibu gani huruhusu Tahajia kuzingatia sehemu husika ya sauti kwa kila herufi?

Utaratibu wa umakini hukusanya uzani juu ya hali za kusimba, na kutengeneza vekta ya muktadha ambayo kisimbuaji hutumia katika kila hatua.

Endelea kujifunza

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