Systems and methods for end-to-end speech recognition to provide accurate transcriptions and reduced latency

A system of end-to-end speech recognition configured to provide accurate transcriptions and reduced latency, the system comprising:

• electronic storage configured to store at least an acoustic model and a decoder, wherein the acoustic model is trained to determine and store statistical representations for individual sounds uttered by users, wherein individual ones of the statistical representations are numbers that represent individual phonemes in a format computable by at least the decoder, wherein the individual phonemes are units of sound that distinguish individual spoken words from other words spoken by the users, wherein the decoder is configured to determine an output transcript based on the statistical representations;
• and
• one or more processors configured by machine-readable instructions to:
• receive audio information including audio signals, wherein the audio signals convey sounds that represent words spoken by a user;
• effectuate the acoustic model to determine phonemes present in the sounds conveyed by the audio signals based on the audio signals and subsequently determine statistical representations based on the phonemes such that the statistical representations correspond to the phonemes, wherein the acoustic model is run on a graphical processing unit using non-conditional computation, further wherein the acoustic model being run on the graphical processing unit using the non-conditional computation includes satisfaction of conditions not being required in running the acoustic model on the graphical processing unit;
• obtain the corresponding statistical representations from the acoustic model;
• effectuate the decoder to determine a first output transcript for the audio information based on the statistical representations, wherein the decoder is run on a central processing unit using conditional computation, further wherein the decoder being run on the central processing unit using the conditional computation includes satisfaction of conditions being required in running the decoder on the central processing unit;
• and
• effectuate presentation of the first output transcript for the audio information via client computing platform associated with the user.