A computerized system for using neuromuscular information to improve speech recognition, the system comprising: at least one voice interface configured to capture speech data produced by a user; a plurality of neuromuscular sensors (110, 502), arranged on one or more wearable devices that are configured to be worn on the user's wrist, wherein the plurality of neuromuscular sensors is configured to continuously record a plurality of neuromuscular signals from the user's wrist; at least one storage device configured to store one or more trained statistical models; and at least one computer processor programmed to: obtain speech data for the user from the voice interface obtain the plurality of neuromuscular signals from the user's wrist using the plurality of neuromuscular sensors; provide as an input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, wherein subsequently a predicted musculoskeletal representation is output from the trained statistical model; wherein the predicted musculoskeletal representation comprises a set of probabilities that the user is performing one or more movements, forces, poses, gestures, and/or activations from a set of possible movements, forces, poses, gestures, and/or activations; determine based, at least in part, on an output of the one or more trained statistical models, at least one instruction for modifying an operation of a speech recognizer; and provide the at least one instruction to the speech recognizer; wherein the instruction for modifying the operation of the speech recognizer is determined based on the predicted musculoskeletal representation. at least one voice interface configured to capture speech data produced by a user; a plurality of neuromuscular sensors (110, 502), arranged on one or more wearable devices that are configured to be worn on the user's wrist, wherein the plurality of neuromuscular sensors is configured to continuously record a plurality of neuromuscular signals from the user's wrist; at least one storage device configured to store one or more trained statistical models; and at least one computer processor programmed to: obtain speech data for the user from the voice interface obtain the plurality of neuromuscular signals from the user's wrist using the plurality of neuromuscular sensors; provide as an input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, wherein subsequently a predicted musculoskeletal representation is output from the trained statistical model; wherein the predicted musculoskeletal representation comprises a set of probabilities that the user is performing one or more movements, forces, poses, gestures, and/or activations from a set of possible movements, forces, poses, gestures, and/or activations; determine based, at least in part, on an output of the one or more trained statistical models, at least one instruction for modifying an operation of a speech recognizer; and provide the at least one instruction to the speech recognizer; wherein the instruction for modifying the operation of the speech recognizer is determined based on the predicted musculoskeletal representation. obtain speech data for the user from the voice interface obtain the plurality of neuromuscular signals from the user's wrist using the plurality of neuromuscular sensors; provide as an input to the one or more trained statistical models, the plurality of neuromuscular signals or signals derived from the plurality of neuromuscular signals, wherein subsequently a predicted musculoskeletal representation is output from the trained statistical model; wherein the predicted musculoskeletal representation comprises a set of probabilities that the user is performing one or more movements, forces, poses, gestures, and/or activations from a set of possible movements, forces, poses, gestures, and/or activations; determine based, at least in part, on an output of the one or more trained statistical models, at least one instruction for modifying an operation of a speech recognizer; and provide the at least one instruction to the speech recognizer; wherein the instruction for modifying the operation of the speech recognizer is determined based on the predicted musculoskeletal representation.