Websockets JSON

Mist v2 JSON WebSocket (/ws2): structured events with base64 audio chunks and word-level timestamps.

Python

import asyncio
import json
import websockets
import base64

class RimeClient:
    def __init__(self, speaker, api_key):
        self.url = f"wss://users-ws.rime.ai/ws2?speaker={speaker}&modelId=mistv2&audioFormat=mp3"
        self.auth_headers = {
            "Authorization": f"Bearer {api_key}"
        }
        self.audio_data = b''

    async def send_messages(self, websocket, messages):
        for message in messages:
            await websocket.send(json.dumps(message))

    async def handle_audio(self, websocket):
        while True:
            try:
                audio = await websocket.recv()
            except websockets.exceptions.ConnectionClosedOK:
                break
            message = json.loads(audio)

            if message['type'] == 'chunk':
              self.audio_data += base64.b64decode(message['data'])

            if message['type'] == 'timestamps':
                print("Rime model pronounced the words...\n")
                for w, t in zip(message['word_timestamps']['words'], message['word_timestamps']['start']):
                    print(f"'{w}' at time {t}")

    async def run(self, messages):
        async with websockets.connect(self.url, additional_headers=self.auth_headers) as websocket:
            await asyncio.gather(
                self.send_messages(websocket, messages),
                self.handle_audio(websocket),
            )

    def save_audio(self, file_path):
        with open(file_path, 'wb') as f:
            f.write(self.audio_data)
        print(f"\n Audio saved at {file_path}")


message = [
    {"text": "This "},
    {"text": "is "},
    {"text": "a "},
    {"text": "test "},
    {"operation":"clear"},
    {"text": "This "},
    {"text": "is "},
    {"text": "an "},
    {"text": "incomplete "},
    {"text": "sentence "},
    {"operation": "eos"},
]

client = RimeClient("cove", api_key="xxx")
asyncio.run(client.run(message))

client.save_audio("output.mp3")

Overview

In addition to a plaintext websocket implementation, Rime also has an implementation that sends and receives events as JSON objects. Like the other implementation, all synthesis arguments are provided as query parameters when establishing the connection.

The websocket API buffers inputs up to on of the following punctuation characters: ., ?, !. This is most pertinent for the initial messages sent to the API, as synthesis won’t begin until there are sufficient tokens to generate audio with natural prosody. After the first synthesis of any given utterance, typically enough time has elapsed that subsequent audio contains multiple clauses, and the buffering becomes largely invisible.

Messages

Send

Text

This is the most common message, which contains text for synthesis.

schema:

type TextMessage = {
  text: string,
  contextId?: string,
}

examples:

{
    "text": "this is the minimum text message."
}

{
    "text": "this is a text message with a context id.",
    "contextId": "159495B1-5C81-4C73-A51A-9CE10A08239E"
}

Context IDs can be provided, which will be attached to subsequent messages that the server sends back to the client. Rime will not maintain multiple simultaneous context ids. The events will contain the most recent context ID at the time that audio was requested. In the above examples, even if both messages are received by the server before it sends any audio, the audio response for the first sentence will be tagged with contextId: null, and the audio for the second will be tagged with its UUID.

Clear

Your client can clear out the accumulated buffer, which is useful in the case of interruptions.

{ "operation": "clear" }

Flush

This forces whatever buffer exists, if any, to be synthesized, and the generated audio to be sent over.

{ "operation": "flush" }

EOS

At times, your client would like to generate audio for whatever remains in the buffer, and then have the connection immediately closed.

{ "operation" : "eos" }

Receive

Chunk

The most common event will be the audio chunk.

type Base64String = string

type AudioChunkEvent = {
  type: "chunk",
  data: Base64String,
  contextId: string | null,
}

The audio will be a base64 encoded chunk of audio bytes in the audio format specified when the connection was established. If you provided any context id when sending the relevant text, it’ll be included here.

Timestamps

Word-level timestamps are emitted alongside the audio chunks so the client can tell exactly which words have been spoken at any point. This is especially useful for handling interruptions: when the user starts talking over the output, you can map the playback position back to the last word that was actually heard.

type TimestampsEvent = {
  type: "timestamps",
  word_timestamps: {
    words: string[],
    start: number[],
    end: number[],
  },
  contextId: string | null,
}

The three arrays inside word_timestamps are the same length and index-aligned: for a given index i, words[i] is spoken from start[i] to end[i]. Times are in seconds, measured from the beginning of the audio for the current synthesis. If a context id was attached to the text that produced this audio, it is included on the event.

Example payload:

{
  "type": "timestamps",
  "word_timestamps": {
    "words": ["Hello", "from", "a", "timestamps", "probe", "."],
    "start": [0, 0.35991, 0.51084, 0.59211, 1.10295, 1.41642],
    "end":   [0.35991, 0.51084, 0.59211, 1.10295, 1.41642, 1.5093]
  },
  "contextId": null
}

Error

In the event of a malformed or unexpected input, the server will immediately respond with an error message. The server will not close the connection, and will still accept subsequent well-formed messages. It’s up to the client to decide if it wants to close upon receiving an error.

type ErrorEvent = {
  type: "error",
  message: string,
}

Variable Parameters

speaker · string · required

Must be one of the voices listed in our documentation.

text · string · required

The text you’d like spoken. Character limit per request is 500 via the API and 1,000 in the dashboard UI.

modelId · string

Set to mistv2.

audioFormat · string

One of mp3, mulaw, or pcm

lang · string · default: "eng"

If provided, the language must match the language spoken by the provided speaker. This can be checked in our voices documentation.

pauseBetweenBrackets · bool · default: "false"

When set to true, adds pauses between words enclosed in angle brackets. The number inside the brackets specifies the pause duration in milliseconds.
Example: “Hi. <200> I’d love to have a conversation with you.” adds a 200ms pause between the first and second sentences.

phonemizeBetweenBrackets · bool · default: "false"

When set to true, you can specify the phonemes for a word enclosed in curly brackets.
Example: “{h’El.o} World” will pronounce “Hello” as expected. Learn more about custom pronunciation.

inlineSpeedAlpha · string

Comma-separated list of speed values applied to words in square brackets. Values < 1.0 speed up speech, > 1.0 slow it down. Example: “This is [slow] and [fast]”, use “3, 0.5” to make “slow” slower and “fast” faster.

samplingRate · int

The value, if provided, must be between 4000 and 44100. Default: 22050

speedAlpha · float · default: "1.0"

Adjusts the speed of speech. Lower than 1.0 is faster and higher than 1.0 is slower.

Note: this is the legacy Mist v2 convention. Newer models (Coda, Arcana, Mist v3) invert it — for those, higher than 1.0 is faster.

noTextNormalization · bool · default: "false"

mist/mistv2 only. Skips text normalization of the input text prior to synthesizing audio. This will reduce latency at the cost of some possible mispronunciation of digits and abbreviations.

segment · string · default: "bySentence"

Controls how text is segmented for synthesis. Available options:

• “immediate” - Synthesizes text immediately without waiting for complete sentences
• “never” - Never segments the text, waits for explicit flush or EOS
• “bySentence” (default) - Waits for complete sentences before synthesis

Note: For backward compatibility, setting immediate=true in query params is equivalent to segment=immediate. If a null value is provided, it will default to “bySentence”.

saveOovs · bool · default: "false"

mist/mistv2 only. If set to true, Rime shall save any currently OOV (out-of-vocabulary) words encountered in text, and save them for the User or Team to review on the Speech QA dashboard. Note: It may take up to 15 minutes for OOV words to appear on your dashboard.

Python

import asyncio
import json
import websockets
import base64

class RimeClient:
    def __init__(self, speaker, api_key):
        self.url = f"wss://users-ws.rime.ai/ws2?speaker={speaker}&modelId=mistv2&audioFormat=mp3"
        self.auth_headers = {
            "Authorization": f"Bearer {api_key}"
        }
        self.audio_data = b''

    async def send_messages(self, websocket, messages):
        for message in messages:
            await websocket.send(json.dumps(message))

    async def handle_audio(self, websocket):
        while True:
            try:
                audio = await websocket.recv()
            except websockets.exceptions.ConnectionClosedOK:
                break
            message = json.loads(audio)

            if message['type'] == 'chunk':
              self.audio_data += base64.b64decode(message['data'])

            if message['type'] == 'timestamps':
                print("Rime model pronounced the words...\n")
                for w, t in zip(message['word_timestamps']['words'], message['word_timestamps']['start']):
                    print(f"'{w}' at time {t}")

    async def run(self, messages):
        async with websockets.connect(self.url, additional_headers=self.auth_headers) as websocket:
            await asyncio.gather(
                self.send_messages(websocket, messages),
                self.handle_audio(websocket),
            )

    def save_audio(self, file_path):
        with open(file_path, 'wb') as f:
            f.write(self.audio_data)
        print(f"\n Audio saved at {file_path}")


message = [
    {"text": "This "},
    {"text": "is "},
    {"text": "a "},
    {"text": "test "},
    {"operation":"clear"},
    {"text": "This "},
    {"text": "is "},
    {"text": "an "},
    {"text": "incomplete "},
    {"text": "sentence "},
    {"operation": "eos"},
]

client = RimeClient("cove", api_key="xxx")
asyncio.run(client.run(message))

client.save_audio("output.mp3")