InoteveraGaidhi rinotevera
Neural Audio Codecs
AI Yenyaya
Chidzidzo cheAI yeRuzha
Ini Kutenderera Audio Codec
Mimi ndi neural audio codec yeKyutai inoshandiswa neMoshi.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Inochinja ruzha re24 kHz kuita zvirevo zvakasarudzika pa12.5 frames pesekondi, ichiita kuti modhi dzemutaurirano dzigone kutarisa nekudhikodha matokens eruzha. Chinyorwa chinotsanangura semantic codebook yakatorwa kubva kuWavLM neacoustic codebooks dzekudzororodza; kumhanya nekupoteka zvinoenderana nekugadziridzwa kwakaburitswa.
Kudzika Kwakadzika
Chinyorwa cheMoshi chinotangisa Mimi se-streaming neural codec inoshanda pa24 kHz audio ine 12.5 Hz token frame rate ne1.1 kbps bandwidth mune setup yakatorwa. Encoder inopa semantic codebook yakatorwa kubva kuWavLM neacoustic codebooks dzinobatsira kudzororodza, ichishandisa split residual vector quantization. Causal masking muencoder/decoder Transformers inobatsira streaming inference. Chinyorwa chinotsanangura 80 ms frame size; haisafanirwe kufungidzirwa sechiratidzo chakachengeteka chekumhanya kwerondedzero yekutaurirana. Mimi inopa matokens eruzha kune audio-text modeling yeMoshi, asi codec tokens haisi matokens emashoko akajairika.
Kuitwa muNyika yeChokwadi
Shandisa codec kureva ruzha rinounzwa sematokens akasarudzika anogona kushandiswa nemodhi yemutaurirano-wandiko.
Decode matokens eruzha akatarwa kubva kune waveform kuti awane ruzha rwekubuda.
Venzanisa kumhanya kwekutokenu nebitrate kana uchivhura urefu hweautoregressive sequence nekunaka kwecodec.
Tongora semantic/acoustic codebooks dzakagadzirirwa dzinotsanangurwa murepoto yeMoshi.
Ramangwana reMimi Kutenderera Audio Codec
Neural codecs inopa nzira imwe chete yekuti modhi dzemutaurirano dzidhikodhe nekugadzira ruzha. Bvunzo rinozotevera rinogona kugadzirisa kumhanya kwekutokenu, kugadziridzwa kwecodebook, nekupoteka kwe-streaming; chikamu chimwe nechimwe chinofanira kuenzaniswa kune hunhu hweruzha, hardware, nebasa rekutaurirana rakatarwa.
Kuzvishandisa
Nei zvichikosha
- Svika uye svika. Inonatsiridza kusvikika kuburikidza nekunyora, kurondedzera, uye mazwi ekubatanidza.
- Mutengo uye bhajeti. Zvikwata zveMedia zvinogona kutumira odhiyo yakakwenenzverwa nekukurumidza nemabhajeti madiki.
- Kumhanya uye chiyero. Masisitimu anotarisana nevatengi anogona kugadzirisa kutaurirana kwekutaura pamwero mukuru.
Chenjera
- Kushandisa izwi zvisizvo uye njodzi dzekuedzesera dzinowedzera kana chibvumirano chisipo.
- Kururama kunogona kudonha mumitauro, mataurirwo, kana nharaunda dzine ruzha.
- Synthetic audio inogona kukanganisa kutaura kwechokwadi isina mavara akajeka.
Matanho anotevera
- Wana mvumo yakajeka yekutora inzwi, kugadzira, uye kushandisa zvakare.
- Yedza mhando pavatauri vakasiyana uye mamiriro ekumashure.
- Tsanangura apo munhu anofanira kuongorora kana kubvumidza zvabuda.
- Label synthetic odhiyo uye chengetedza marekodhi ekuzvidavirira.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
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Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Tora quiz yeMimi Streaming Audio Codec
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi Mimi Streaming Audio Codec?
Mimi ndi neural audio codec yeKyutai inoshandiswa neMoshi. Inochinja ruzha re24 kHz kuita zvirevo zvakasarudzika pa12.5 frames pesekondi, ichiita kuti modhi dzemutaurirano dzigone kutarisa nekudhikodha matokens eruzha. Chinyorwa chinotsanangura semantic codebook yakatorwa kubva kuWavLM neacoustic codebooks dzekudzororodza; kumhanya nekupoteka zvinoenderana nekugadziridzwa kwakaburitswa.
Ndeipi lab yakaburitsa Mimi neMoshi voice modhi?
Mimi naMoshi vakaburitswa muna 2024 neFrench research lab Kyutai, iyo yakavhura-sourced vese.
Zvingangove zvingani zviratidzo pasekondi izvo Mimi anoburitsa pakutaura?
Ini anomanikidza 24 kHz odhiyo pasi kusvika kune angangoita 12.5 tokens pasekondi pane angangoita 1.1 kbps.
Chii chinyorwa chakatarwa neMimi’s first semantic codebook?
Chinyorwa cheMoshi chinotsanangura kutorwa kweWavLM representations kune semantic codebook yeMimi; hachiti kuti codebook iyi ndi transcript yakajairika kana chirekodhi chakakwana chechiratidzo chemutauri.
Sei Mimi achitsanangurwa se'kuyerera' kana 'kukonzeresa'?
Causal encoder/decoder yeMimi inogona kushandisa frames semamiriro eruzha ari kuuya pasina kudiwa kwekutaurwa kwese. Chinyorwa che80 ms chinoreva kumhanya kwecodec frame, siri kumhanya kwerondedzero yekutaurirana yakachengeteka.
Ndeipi nzira yekuwedzera iyo Mimi anoshandisa encode odhiyo?
Mimi anoshandisa yakasara vector quantization, kurongedza akawanda macodebooks kuitira kuti imwe neimwe iwedzere yakakwenenzverwa kune yakapfuura.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi