The milesto e u de sco es how Modulate’s u ique voice- ative a chitectu e ca outpe fo m much la ge playe s ac oss the met ics that matte most to e te p ises: accu acy, speed, a d cost. The a ki g demo st ates that specialized AI models pu pose-built fo co ve satio al audio ca compete at the highest levels without elyi g o i c easi gly la ge a d expe sive fou datio models.
“T a sc iptio has become fou datio al to voice AI, but the eco omics have ot kept up with how these systems a e actually bei g deployed,” said Mike Pappas, CEO a d co-fou de of Modulate. “Develope s a d e te p ises should ot have to choose betwee accu acy, speed, a d affo dability. Modulate delive s all th ee, while ope i g the doo to a much deepe u de sta di g of what is happe i g i live co ve satio s.”
The Huggi g Face Ope ASR Leade boa d p ovides a t a spa e t, ep oducible compa iso of leadi g ope -sou ce a d comme cial t a sc iptio models ac oss sta da dized datasets spa i g multiple domai s, acce ts, a d eco di g co ditio s. Models a e evaluated usi g Wo d E o Rate, o WER, the sta da d met ic fo t a sc iptio accu acy that measu es the pe ce tage of wo ds a model gets w o g, with a lowe WER i dicati g highe accu acy. Modulate a ked #1 out of 88 models, demo st ati g Modulate’s ability to delive state-of-the-a t t a sc iptio accu acy at the most competitive p ice poi t available.
As t a sc iptio becomes c itical i f ast uctu e fo voice age ts, co tact ce te s, f aud detectio , custome expe ie ce, a d co ve satio al AI wo kflows, e te p ises a d develope s a e i c easi gly dema di g solutio s that ca pe fo m at scale. Modulate meets that eed, delive i g high-pe fo ma ce t a sc iptio while se vi g as a e t y poi t i to Modulate’s b oade Velma platfo m fo voice- ative co ve satio u de sta di g.
Fo develope s evaluati g t a sc iptio models, i depe de t validatio o be chma k pe fo ma ce gives co fide ce that models will pe fo m as expected i eal-wo ld co ditio s. I la ge-scale e vi o me ts, eve small diffe e ces i t a sc iptio accu acy a d p ice ca t a slate i to mea i gful diffe e ces i eliability, custome expe ie ce, a d ope ati g cost.
Modulate t ai s its models o mo e tha 500 millio hou s of oisy, eal-wo ld audio, givi g it a st o g fou datio fo e vi o me ts whe e speech is ot clea , sc ipted, o studio-quality. The model t a sc ibes faste tha eal time, which is esse tial fo live t a sc iptio , st eami g applicatio s, a d othe voice wo kflows whe e late cy di ectly affects use expe ie ce.
U like co ve tio al t a sc iptio tools that focus p ima ily o co ve ti g speech to text, T a sc iptio is pa t of Modulate’s b oade voice i tellige ce platfo m, built to u de sta d eal-wo ld audio sig als that t a sc ipts alo e ca ot captu e. Modulate’s E semble Liste i g Model, o ELM, a chitectu e combi es doze s of audio- ative models desig ed to u de sta d voice, e abli g Modulate to delive highly accu ate, p oductio – eady audio i tellige ce at a f actio of the cost of la ge , mo e ge e alized models o LLM-fi st app oaches.
I additio to high-accu acy t a sc iptio , Modulate’s t a sc iptio models suppo t adva ced voice i tellige ce capabilities i cludi g emotio detectio de ived f om audio sig als athe tha t a sc ipt text, dia izatio , acce t ide tificatio , deepfake detectio , a d suppo t fo 57+ la guages a d dialects.
These capabilities a e especially impo ta t as voice AI moves f om co t olled demos i to live, high-stakes e vi o me ts. I co tact ce te s, AI age ts, f aud p eve tio wo kflows, a d e te p ise voice applicatio s, what matte s is ot o ly what was said, but how it was said, who said it, whethe the voice ca be t usted, a d what co text is eme gi g i the co ve satio .
“T a sc iptio is a impo ta t sta ti g poi t, but it is ot the e d state,” said Pappas. “The eal oppo tu ity is co ve satio u de sta di g. Voice ca ies sig als like emotio , u ge cy, hesitatio , acce t, ide tity, a d authe ticity that eve appea i a t a sc ipt. Velma is built to help e te p ises captu e those sig als a d tu them i to actio able i tellige ce.”
Most voice pipeli es still begi by flatte i g audio i to text, the passi g that text i to a LLM o othe dow st eam system. While that app oach has become sta da d, it disca ds much of the mea i g co tai ed i the o igi al audio, i cludi g to e, i te t, speake dy amics, i te uptio s, sa casm, emotio , a d othe co ve satio al sig als that ca cha ge how a co ve satio should be u de stood.
Velma combi es Modulate’s i dust y-leadi g t a sc iptio models with these additio al acoustic sig als, e abli g a iche u de sta di g of co ve satio s which powe s co te t mode atio , f aud p eve tio , custome expe ie ce, a d t ust a d safety use cases. Modulate’s app oach is g ou ded i eal-wo ld audio, i cludi g oisy, high-scale, emotio ally complex voice e vi o me ts whe e accu acy, late cy, cost, a d explai ability a e esse tial to p oductio deployme t.
Modulate’s t a sc iptio offe i gs a e available at p ices betwee $0.025 a d $0.06 pe hou , compa ed with $0.22-0.39 pe hou fo Eleve Labs Sc ibe v2, $0.21-0.45 pe hou fo AssemblyAI U ive sal 3 P o, a d $0.31-0.55 pe hou fo Deepg am Nova-3, maki g Modulate 7x to 10x less expe sive tha seve al othe leadi g t a sc iptio API p ovide s, while delive i g the highest accu acy o Huggi g Face’s ASR be chma k.
Huggi g Face’s Ope ASR Leade boa d evaluates models ac oss seve datasets, i cludi g AMI, Ea i gs-22, GigaSpeech, Lib iSpeech Clea , Lib iSpeech Othe , SPGI Speech, a d VoxPopuli-AA-Clea ed. AMI, which co sists of oisy eal-wo ld meeti g audio, is widely ega ded as o e of the most difficult datasets, as it eflects the ki d of messy, multi-speake e vi o me ts whe e e te p ise t a sc iptio models must actually pe fo m.
These t a sc iptio models, as well as othe u ique models fo emotio u de sta di g, behavio a alysis, a d much mo e, a e all available today th ough Modulate’s API. To lea mo e, visit https://www.modulate.ai/.
Modulate is a voice i tellige ce compa y buildi g AI models a d APIs desig ed to u de sta d eal-wo ld co ve satio al audio at scale. Its tech ology combi es speech ecog itio , acoustic a alysis, a d co ve satio al co text to delive eliable, explai able, a d cost-effective voice i tellige ce fo develope s a d e te p ises.
Fo mo e i fo matio o to get sta ted, visit modulate.ai.
K isti Ca de sG ithaus Age cy(e)
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